{"task":"Camouflaged Object Segmentation","dataset":"COD","metric_names":["S-Measure","Weighted F-Measure","MAE"],"rows":[{"id":65073,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":65074,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65075,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65076,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65077,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65078,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65079,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65080,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65081,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65082,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65083,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":65084,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79052,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":79053,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79054,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79055,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79056,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79057,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79058,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79059,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79060,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79061,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79062,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":79063,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106469,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":106470,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106471,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106472,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106473,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106474,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106475,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106476,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106477,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106478,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106479,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":106480,"task":"Camouflaged Object Segmentation","parent_task":null,"dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107768,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":107769,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107770,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107771,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107772,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107773,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107774,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107775,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107776,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107777,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107778,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":107779,"task":"Camouflaged Object Segmentation","parent_task":"Object Segmentation","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119579,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":119580,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119581,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119582,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119583,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119584,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119585,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119586,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119587,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119588,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119589,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":119590,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126655,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":126656,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126657,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126658,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126659,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126660,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126661,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126662,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126663,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126664,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126665,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":126666,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152374,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BiRefNet","metrics":{"MAE":"0.014","S-Measure":"0.913","Weighted F-Measure":"0.874"},"paper_url":"https://arxiv.org/abs/2401.03407v6","paper_title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","paper_date":"2024-01-07","code_links":[{"title":"zhengpeng7/birefnet","url":"https://github.com/zhengpeng7/birefnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":152375,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"FOCUS","metrics":{"MAE":"0.013","S-Measure":"0.910","Weighted F-Measure":"0.883"},"paper_url":"https://arxiv.org/abs/2501.05238v1","paper_title":"FOCUS: Towards Universal Foreground Segmentation","paper_date":"2025-01-09","code_links":[{"title":"geshang777/FOCUS","url":"https://github.com/geshang777/FOCUS"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152376,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B4","metrics":{"MAE":"0.017","S-Measure":"0.898","Weighted F-Measure":"0.838"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152377,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-PVTv2-B5","metrics":{"MAE":"0.018","S-Measure":"0.898","Weighted F-Measure":"0.827"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152378,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"ZoomNeXt-ResNet-50","metrics":{"MAE":"0.026","S-Measure":"0.861","Weighted F-Measure":"0.768"},"paper_url":"https://arxiv.org/abs/2310.20208v4","paper_title":"ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection","paper_date":"2023-10-31","code_links":[{"title":"lartpang/zoomnext","url":"https://github.com/lartpang/zoomnext"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152379,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv2","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.746"},"paper_url":"https://arxiv.org/abs/2305.18476v1","paper_title":"Explicit Visual Prompting for Universal Foreground Segmentations","paper_date":"2023-05-29","code_links":[{"title":"nifangbaage/explict-visual-prompt","url":"https://github.com/nifangbaage/explict-visual-prompt"},{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152380,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EVPv1","metrics":{"MAE":"0.029","S-Measure":"0.843","Weighted F-Measure":"0.742"},"paper_url":"https://arxiv.org/abs/2303.10883v2","paper_title":"Explicit Visual Prompting for Low-Level Structure Segmentations","paper_date":"2023-03-20","code_links":[{"title":"nifangbaage/explicit-visual-prompt","url":"https://github.com/nifangbaage/explicit-visual-prompt"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152381,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet*","metrics":{"MAE":"0.051","S-Measure":"0.771","Weighted F-Measure":"0.551"},"paper_url":"https://arxiv.org/abs/2102.10274v2","paper_title":"Concealed Object Detection","paper_date":"2021-02-20","code_links":[{"title":"GewelsJI/SINet-V2","url":"https://github.com/GewelsJI/SINet-V2"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152382,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"CPD","metrics":{"MAE":"0.059","S-Measure":"0.747","Weighted F-Measure":"0.508"},"paper_url":"http://arxiv.org/abs/1904.08739v1","paper_title":"Cascaded Partial Decoder for Fast and Accurate Salient Object Detection","paper_date":"2019-04-18","code_links":[{"title":"wuzhe71/CPD","url":"https://github.com/wuzhe71/CPD"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152383,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"EGNet","metrics":{"MAE":"0.056","S-Measure":"0.737","Weighted F-Measure":"0.509"},"paper_url":"http://openaccess.thecvf.com/content_ICCV_2019/html/Zhao_EGNet_Edge_Guidance_Network_for_Salient_Object_Detection_ICCV_2019_paper.html","paper_title":"EGNet: Edge Guidance Network for Salient Object Detection","paper_date":"2019-10-01","code_links":[{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet"},{"title":"JXingZhao/EGNet","url":"https://github.com/JXingZhao/EGNet"},{"title":"jiean001/models_m","url":"https://github.com/jiean001/models_m/tree/main/EGnet"},{"title":"yangyucheng000/Egnet","url":"https://github.com/yangyucheng000/Egnet"},{"title":"2023-MindSpore-4/Code3","url":"https://github.com/2023-MindSpore-4/Code3/tree/main/E-NET"},{"title":"Bharat-mtr/EGNet","url":"https://dagshub.com/Bharat-mtr/EGNet"},{"title":"code-implementation1/Code3","url":"https://github.com/code-implementation1/Code3/tree/main/EGnet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152384,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"SINet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2020/html/Fan_Camouflaged_Object_Detection_CVPR_2020_paper.html","paper_title":"Camouflaged Object Detection","paper_date":"2020-06-01","code_links":[{"title":"DengPingFan/SINet","url":"https://github.com/DengPingFan/SINet"},{"title":"DengPingFan/CODToolbox","url":"https://github.com/DengPingFan/CODToolbox"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":152385,"task":"Camouflaged Object Segmentation","parent_task":"Object Detection","dataset":"COD","model_name":"BASNet","metrics":{"MAE":"0.092","S-Measure":"0.685","Weighted F-Measure":"0.352"},"paper_url":"http://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html","paper_title":"BASNet: Boundary-Aware Salient Object Detection","paper_date":"2019-06-01","code_links":[{"title":"NathanUA/BASNet","url":"https://github.com/NathanUA/BASNet"},{"title":"chouxianyu/Boundary-Aware-PoolNet","url":"https://github.com/chouxianyu/Boundary-Aware-PoolNet"},{"title":"hamidriasat/BASNet","url":"https://github.com/hamidriasat/BASNet"}],"metrics_order":"[\"S-Measure\", \"Weighted F-Measure\", \"MAE\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]}]}