{"task":"Face Alignment","dataset":"WFW (Extra Data)","metric_names":["NME (inter-ocular)","AUC@10 (inter-ocular)","FR@10 (inter-ocular)"],"rows":[{"id":3434,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SH-FAN","metrics":{"AUC@10 (inter-ocular)":"63.1","FR@10 (inter-ocular)":"1.55","NME (inter-ocular)":"3.72"},"paper_url":"https://arxiv.org/abs/2111.02360v1","paper_title":"Subpixel Heatmap Regression for Facial Landmark Localization","paper_date":"2021-11-03","code_links":[],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":3435,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"FaRL-B (epoch 16)","metrics":{"AUC@10 (inter-ocular)":"61.16","FR@10 (inter-ocular)":"1.76","NME (inter-ocular)":"3.96"},"paper_url":"https://arxiv.org/abs/2112.03109v3","paper_title":"General Facial Representation Learning in a Visual-Linguistic Manner","paper_date":"2021-12-06","code_links":[{"title":"FacePerceiver/FaRL","url":"https://github.com/FacePerceiver/FaRL"},{"title":"willyfh/farl-face-segmentation","url":"https://github.com/willyfh/farl-face-segmentation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":3436,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPIGA","metrics":{"AUC@10 (inter-ocular)":"60.56","FR@10 (inter-ocular)":"2.08","NME (inter-ocular)":"4.06"},"paper_url":"https://arxiv.org/abs/2210.07233v1","paper_title":"Shape Preserving Facial Landmarks with Graph Attention Networks","paper_date":"2022-10-13","code_links":[{"title":"andresprados/spiga","url":"https://github.com/andresprados/spiga"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3437,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"HIH","metrics":{"AUC@10 (inter-ocular)":"60.50","FR@10 (inter-ocular)":"2.60","NME (inter-ocular)":"4.08"},"paper_url":"https://arxiv.org/abs/2104.03100v2","paper_title":"HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap","paper_date":"2021-04-07","code_links":[{"title":"starhiking/HeatmapInHeatmap","url":"https://github.com/starhiking/HeatmapInHeatmap"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3438,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ADNet","metrics":{"AUC@10 (inter-ocular)":"60.22","FR@10 (inter-ocular)":"2.72","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2105.10697v1","paper_title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","paper_date":"2021-05-22","code_links":[{"title":"Pea-Shooter/ADNet","url":"https://github.com/Pea-Shooter/ADNet"},{"title":"liuzhen03/ADNet","url":"https://github.com/liuzhen03/ADNet"},{"title":"drhdr-user/drhdr","url":"https://github.com/drhdr-user/drhdr"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3439,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPLT","metrics":{"AUC@10 (inter-ocular)":"59.50","FR@10 (inter-ocular)":"2.76","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2203.06541v2","paper_title":"Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning","paper_date":"2022-03-13","code_links":[{"title":"jiahao-uts/slpt-master","url":"https://github.com/jiahao-uts/slpt-master"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3440,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"AnchoFace","metrics":{"AUC@10 (inter-ocular)":"57.69","FR@10 (inter-ocular)":"2.96","NME (inter-ocular)":"4.32"},"paper_url":"https://arxiv.org/abs/2007.03221v3","paper_title":"AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses","paper_date":"2020-07-07","code_links":[{"title":"nothingelse92/AnchorFace","url":"https://github.com/nothingelse92/AnchorFace"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3441,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"Awing","metrics":{"AUC@10 (inter-ocular)":"57.19","FR@10 (inter-ocular)":"2.84","NME (inter-ocular)":"4.36"},"paper_url":"https://arxiv.org/abs/1904.07399v3","paper_title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","paper_date":"2019-04-16","code_links":[{"title":"emilianavt/OpenSeeFace","url":"https://github.com/emilianavt/OpenSeeFace"},{"title":"protossw512/AdaptiveWingLoss","url":"https://github.com/protossw512/AdaptiveWingLoss"},{"title":"SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression","url":"https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression"},{"title":"affromero/SMILE","url":"https://github.com/affromero/SMILE"},{"title":"ttruty/facial-feature-mouse-control","url":"https://github.com/ttruty/facial-feature-mouse-control"},{"title":"mikgur/MADE_CV_1000_facial_landmarks","url":"https://github.com/mikgur/MADE_CV_1000_facial_landmarks"},{"title":"zs7779/FAN_AdaptiveWingLoss","url":"https://github.com/zs7779/FAN_AdaptiveWingLoss"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3442,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"LUVLi","metrics":{"AUC@10 (inter-ocular)":"57.7","FR@10 (inter-ocular)":"3.12","NME (inter-ocular)":"4.37"},"paper_url":"https://arxiv.org/abs/2004.02980v1","paper_title":"LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood","paper_date":"2020-04-06","code_links":[{"title":"abhi1kumar/LUVLi","url":"https://github.com/abhi1kumar/LUVLi"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":3443,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ATF","metrics":{"NME (inter-ocular)":"4.49"},"paper_url":"https://dl.acm.org/doi/10.1145/3394171.3414037","paper_title":"ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets","paper_date":"2020-10-12","code_links":[{"title":"starhiking/ATF","url":"https://github.com/starhiking/ATF"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":3444,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"VGG-F","metrics":{"NME (inter-ocular)":"4.57"},"paper_url":"https://arxiv.org/abs/2103.16554v2","paper_title":"Pre-training strategies and datasets for facial representation learning","paper_date":"2021-03-30","code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"1adrianb/unsupervised-face-representation","url":"https://github.com/1adrianb/unsupervised-face-representation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":74561,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SH-FAN","metrics":{"AUC@10 (inter-ocular)":"63.1","FR@10 (inter-ocular)":"1.55","NME (inter-ocular)":"3.72"},"paper_url":"https://arxiv.org/abs/2111.02360v1","paper_title":"Subpixel Heatmap Regression for Facial Landmark Localization","paper_date":"2021-11-03","code_links":[],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":74562,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"FaRL-B (epoch 16)","metrics":{"AUC@10 (inter-ocular)":"61.16","FR@10 (inter-ocular)":"1.76","NME (inter-ocular)":"3.96"},"paper_url":"https://arxiv.org/abs/2112.03109v3","paper_title":"General Facial Representation Learning in a Visual-Linguistic Manner","paper_date":"2021-12-06","code_links":[{"title":"FacePerceiver/FaRL","url":"https://github.com/FacePerceiver/FaRL"},{"title":"willyfh/farl-face-segmentation","url":"https://github.com/willyfh/farl-face-segmentation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":74563,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPIGA","metrics":{"AUC@10 (inter-ocular)":"60.56","FR@10 (inter-ocular)":"2.08","NME (inter-ocular)":"4.06"},"paper_url":"https://arxiv.org/abs/2210.07233v1","paper_title":"Shape Preserving Facial Landmarks with Graph Attention Networks","paper_date":"2022-10-13","code_links":[{"title":"andresprados/spiga","url":"https://github.com/andresprados/spiga"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74564,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"HIH","metrics":{"AUC@10 (inter-ocular)":"60.50","FR@10 (inter-ocular)":"2.60","NME (inter-ocular)":"4.08"},"paper_url":"https://arxiv.org/abs/2104.03100v2","paper_title":"HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap","paper_date":"2021-04-07","code_links":[{"title":"starhiking/HeatmapInHeatmap","url":"https://github.com/starhiking/HeatmapInHeatmap"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74565,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ADNet","metrics":{"AUC@10 (inter-ocular)":"60.22","FR@10 (inter-ocular)":"2.72","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2105.10697v1","paper_title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","paper_date":"2021-05-22","code_links":[{"title":"Pea-Shooter/ADNet","url":"https://github.com/Pea-Shooter/ADNet"},{"title":"liuzhen03/ADNet","url":"https://github.com/liuzhen03/ADNet"},{"title":"drhdr-user/drhdr","url":"https://github.com/drhdr-user/drhdr"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74566,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPLT","metrics":{"AUC@10 (inter-ocular)":"59.50","FR@10 (inter-ocular)":"2.76","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2203.06541v2","paper_title":"Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning","paper_date":"2022-03-13","code_links":[{"title":"jiahao-uts/slpt-master","url":"https://github.com/jiahao-uts/slpt-master"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74567,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"AnchoFace","metrics":{"AUC@10 (inter-ocular)":"57.69","FR@10 (inter-ocular)":"2.96","NME (inter-ocular)":"4.32"},"paper_url":"https://arxiv.org/abs/2007.03221v3","paper_title":"AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses","paper_date":"2020-07-07","code_links":[{"title":"nothingelse92/AnchorFace","url":"https://github.com/nothingelse92/AnchorFace"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74568,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"Awing","metrics":{"AUC@10 (inter-ocular)":"57.19","FR@10 (inter-ocular)":"2.84","NME (inter-ocular)":"4.36"},"paper_url":"https://arxiv.org/abs/1904.07399v3","paper_title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","paper_date":"2019-04-16","code_links":[{"title":"emilianavt/OpenSeeFace","url":"https://github.com/emilianavt/OpenSeeFace"},{"title":"protossw512/AdaptiveWingLoss","url":"https://github.com/protossw512/AdaptiveWingLoss"},{"title":"SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression","url":"https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression"},{"title":"affromero/SMILE","url":"https://github.com/affromero/SMILE"},{"title":"ttruty/facial-feature-mouse-control","url":"https://github.com/ttruty/facial-feature-mouse-control"},{"title":"mikgur/MADE_CV_1000_facial_landmarks","url":"https://github.com/mikgur/MADE_CV_1000_facial_landmarks"},{"title":"zs7779/FAN_AdaptiveWingLoss","url":"https://github.com/zs7779/FAN_AdaptiveWingLoss"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74569,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"LUVLi","metrics":{"AUC@10 (inter-ocular)":"57.7","FR@10 (inter-ocular)":"3.12","NME (inter-ocular)":"4.37"},"paper_url":"https://arxiv.org/abs/2004.02980v1","paper_title":"LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood","paper_date":"2020-04-06","code_links":[{"title":"abhi1kumar/LUVLi","url":"https://github.com/abhi1kumar/LUVLi"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":74570,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ATF","metrics":{"NME (inter-ocular)":"4.49"},"paper_url":"https://dl.acm.org/doi/10.1145/3394171.3414037","paper_title":"ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets","paper_date":"2020-10-12","code_links":[{"title":"starhiking/ATF","url":"https://github.com/starhiking/ATF"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":74571,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"VGG-F","metrics":{"NME (inter-ocular)":"4.57"},"paper_url":"https://arxiv.org/abs/2103.16554v2","paper_title":"Pre-training strategies and datasets for facial representation learning","paper_date":"2021-03-30","code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"1adrianb/unsupervised-face-representation","url":"https://github.com/1adrianb/unsupervised-face-representation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":82654,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SH-FAN","metrics":{"AUC@10 (inter-ocular)":"63.1","FR@10 (inter-ocular)":"1.55","NME (inter-ocular)":"3.72"},"paper_url":"https://arxiv.org/abs/2111.02360v1","paper_title":"Subpixel Heatmap Regression for Facial Landmark Localization","paper_date":"2021-11-03","code_links":[],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":82655,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"FaRL-B (epoch 16)","metrics":{"AUC@10 (inter-ocular)":"61.16","FR@10 (inter-ocular)":"1.76","NME (inter-ocular)":"3.96"},"paper_url":"https://arxiv.org/abs/2112.03109v3","paper_title":"General Facial Representation Learning in a Visual-Linguistic Manner","paper_date":"2021-12-06","code_links":[{"title":"FacePerceiver/FaRL","url":"https://github.com/FacePerceiver/FaRL"},{"title":"willyfh/farl-face-segmentation","url":"https://github.com/willyfh/farl-face-segmentation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":82656,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPIGA","metrics":{"AUC@10 (inter-ocular)":"60.56","FR@10 (inter-ocular)":"2.08","NME (inter-ocular)":"4.06"},"paper_url":"https://arxiv.org/abs/2210.07233v1","paper_title":"Shape Preserving Facial Landmarks with Graph Attention Networks","paper_date":"2022-10-13","code_links":[{"title":"andresprados/spiga","url":"https://github.com/andresprados/spiga"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82657,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"HIH","metrics":{"AUC@10 (inter-ocular)":"60.50","FR@10 (inter-ocular)":"2.60","NME (inter-ocular)":"4.08"},"paper_url":"https://arxiv.org/abs/2104.03100v2","paper_title":"HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap","paper_date":"2021-04-07","code_links":[{"title":"starhiking/HeatmapInHeatmap","url":"https://github.com/starhiking/HeatmapInHeatmap"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82658,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ADNet","metrics":{"AUC@10 (inter-ocular)":"60.22","FR@10 (inter-ocular)":"2.72","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2105.10697v1","paper_title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","paper_date":"2021-05-22","code_links":[{"title":"Pea-Shooter/ADNet","url":"https://github.com/Pea-Shooter/ADNet"},{"title":"liuzhen03/ADNet","url":"https://github.com/liuzhen03/ADNet"},{"title":"drhdr-user/drhdr","url":"https://github.com/drhdr-user/drhdr"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82659,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPLT","metrics":{"AUC@10 (inter-ocular)":"59.50","FR@10 (inter-ocular)":"2.76","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2203.06541v2","paper_title":"Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning","paper_date":"2022-03-13","code_links":[{"title":"jiahao-uts/slpt-master","url":"https://github.com/jiahao-uts/slpt-master"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82660,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"AnchoFace","metrics":{"AUC@10 (inter-ocular)":"57.69","FR@10 (inter-ocular)":"2.96","NME (inter-ocular)":"4.32"},"paper_url":"https://arxiv.org/abs/2007.03221v3","paper_title":"AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses","paper_date":"2020-07-07","code_links":[{"title":"nothingelse92/AnchorFace","url":"https://github.com/nothingelse92/AnchorFace"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82661,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"Awing","metrics":{"AUC@10 (inter-ocular)":"57.19","FR@10 (inter-ocular)":"2.84","NME (inter-ocular)":"4.36"},"paper_url":"https://arxiv.org/abs/1904.07399v3","paper_title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","paper_date":"2019-04-16","code_links":[{"title":"emilianavt/OpenSeeFace","url":"https://github.com/emilianavt/OpenSeeFace"},{"title":"protossw512/AdaptiveWingLoss","url":"https://github.com/protossw512/AdaptiveWingLoss"},{"title":"SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression","url":"https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression"},{"title":"affromero/SMILE","url":"https://github.com/affromero/SMILE"},{"title":"ttruty/facial-feature-mouse-control","url":"https://github.com/ttruty/facial-feature-mouse-control"},{"title":"mikgur/MADE_CV_1000_facial_landmarks","url":"https://github.com/mikgur/MADE_CV_1000_facial_landmarks"},{"title":"zs7779/FAN_AdaptiveWingLoss","url":"https://github.com/zs7779/FAN_AdaptiveWingLoss"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82662,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"LUVLi","metrics":{"AUC@10 (inter-ocular)":"57.7","FR@10 (inter-ocular)":"3.12","NME (inter-ocular)":"4.37"},"paper_url":"https://arxiv.org/abs/2004.02980v1","paper_title":"LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood","paper_date":"2020-04-06","code_links":[{"title":"abhi1kumar/LUVLi","url":"https://github.com/abhi1kumar/LUVLi"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":82663,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ATF","metrics":{"NME (inter-ocular)":"4.49"},"paper_url":"https://dl.acm.org/doi/10.1145/3394171.3414037","paper_title":"ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets","paper_date":"2020-10-12","code_links":[{"title":"starhiking/ATF","url":"https://github.com/starhiking/ATF"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":82664,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"VGG-F","metrics":{"NME (inter-ocular)":"4.57"},"paper_url":"https://arxiv.org/abs/2103.16554v2","paper_title":"Pre-training strategies and datasets for facial representation learning","paper_date":"2021-03-30","code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"1adrianb/unsupervised-face-representation","url":"https://github.com/1adrianb/unsupervised-face-representation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":90732,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SH-FAN","metrics":{"AUC@10 (inter-ocular)":"63.1","FR@10 (inter-ocular)":"1.55","NME (inter-ocular)":"3.72"},"paper_url":"https://arxiv.org/abs/2111.02360v1","paper_title":"Subpixel Heatmap Regression for Facial Landmark Localization","paper_date":"2021-11-03","code_links":[],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":90733,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"FaRL-B (epoch 16)","metrics":{"AUC@10 (inter-ocular)":"61.16","FR@10 (inter-ocular)":"1.76","NME (inter-ocular)":"3.96"},"paper_url":"https://arxiv.org/abs/2112.03109v3","paper_title":"General Facial Representation Learning in a Visual-Linguistic Manner","paper_date":"2021-12-06","code_links":[{"title":"FacePerceiver/FaRL","url":"https://github.com/FacePerceiver/FaRL"},{"title":"willyfh/farl-face-segmentation","url":"https://github.com/willyfh/farl-face-segmentation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":90734,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPIGA","metrics":{"AUC@10 (inter-ocular)":"60.56","FR@10 (inter-ocular)":"2.08","NME (inter-ocular)":"4.06"},"paper_url":"https://arxiv.org/abs/2210.07233v1","paper_title":"Shape Preserving Facial Landmarks with Graph Attention Networks","paper_date":"2022-10-13","code_links":[{"title":"andresprados/spiga","url":"https://github.com/andresprados/spiga"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90735,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"HIH","metrics":{"AUC@10 (inter-ocular)":"60.50","FR@10 (inter-ocular)":"2.60","NME (inter-ocular)":"4.08"},"paper_url":"https://arxiv.org/abs/2104.03100v2","paper_title":"HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap","paper_date":"2021-04-07","code_links":[{"title":"starhiking/HeatmapInHeatmap","url":"https://github.com/starhiking/HeatmapInHeatmap"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90736,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ADNet","metrics":{"AUC@10 (inter-ocular)":"60.22","FR@10 (inter-ocular)":"2.72","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2105.10697v1","paper_title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","paper_date":"2021-05-22","code_links":[{"title":"Pea-Shooter/ADNet","url":"https://github.com/Pea-Shooter/ADNet"},{"title":"liuzhen03/ADNet","url":"https://github.com/liuzhen03/ADNet"},{"title":"drhdr-user/drhdr","url":"https://github.com/drhdr-user/drhdr"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90737,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPLT","metrics":{"AUC@10 (inter-ocular)":"59.50","FR@10 (inter-ocular)":"2.76","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2203.06541v2","paper_title":"Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning","paper_date":"2022-03-13","code_links":[{"title":"jiahao-uts/slpt-master","url":"https://github.com/jiahao-uts/slpt-master"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90738,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"AnchoFace","metrics":{"AUC@10 (inter-ocular)":"57.69","FR@10 (inter-ocular)":"2.96","NME (inter-ocular)":"4.32"},"paper_url":"https://arxiv.org/abs/2007.03221v3","paper_title":"AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses","paper_date":"2020-07-07","code_links":[{"title":"nothingelse92/AnchorFace","url":"https://github.com/nothingelse92/AnchorFace"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90739,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"Awing","metrics":{"AUC@10 (inter-ocular)":"57.19","FR@10 (inter-ocular)":"2.84","NME (inter-ocular)":"4.36"},"paper_url":"https://arxiv.org/abs/1904.07399v3","paper_title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","paper_date":"2019-04-16","code_links":[{"title":"emilianavt/OpenSeeFace","url":"https://github.com/emilianavt/OpenSeeFace"},{"title":"protossw512/AdaptiveWingLoss","url":"https://github.com/protossw512/AdaptiveWingLoss"},{"title":"SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression","url":"https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression"},{"title":"affromero/SMILE","url":"https://github.com/affromero/SMILE"},{"title":"ttruty/facial-feature-mouse-control","url":"https://github.com/ttruty/facial-feature-mouse-control"},{"title":"mikgur/MADE_CV_1000_facial_landmarks","url":"https://github.com/mikgur/MADE_CV_1000_facial_landmarks"},{"title":"zs7779/FAN_AdaptiveWingLoss","url":"https://github.com/zs7779/FAN_AdaptiveWingLoss"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90740,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"LUVLi","metrics":{"AUC@10 (inter-ocular)":"57.7","FR@10 (inter-ocular)":"3.12","NME (inter-ocular)":"4.37"},"paper_url":"https://arxiv.org/abs/2004.02980v1","paper_title":"LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood","paper_date":"2020-04-06","code_links":[{"title":"abhi1kumar/LUVLi","url":"https://github.com/abhi1kumar/LUVLi"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":90741,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ATF","metrics":{"NME (inter-ocular)":"4.49"},"paper_url":"https://dl.acm.org/doi/10.1145/3394171.3414037","paper_title":"ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets","paper_date":"2020-10-12","code_links":[{"title":"starhiking/ATF","url":"https://github.com/starhiking/ATF"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":90742,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"VGG-F","metrics":{"NME (inter-ocular)":"4.57"},"paper_url":"https://arxiv.org/abs/2103.16554v2","paper_title":"Pre-training strategies and datasets for facial representation learning","paper_date":"2021-03-30","code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"1adrianb/unsupervised-face-representation","url":"https://github.com/1adrianb/unsupervised-face-representation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":104902,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SH-FAN","metrics":{"AUC@10 (inter-ocular)":"63.1","FR@10 (inter-ocular)":"1.55","NME (inter-ocular)":"3.72"},"paper_url":"https://arxiv.org/abs/2111.02360v1","paper_title":"Subpixel Heatmap Regression for Facial Landmark Localization","paper_date":"2021-11-03","code_links":[],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":104903,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"FaRL-B (epoch 16)","metrics":{"AUC@10 (inter-ocular)":"61.16","FR@10 (inter-ocular)":"1.76","NME (inter-ocular)":"3.96"},"paper_url":"https://arxiv.org/abs/2112.03109v3","paper_title":"General Facial Representation Learning in a Visual-Linguistic Manner","paper_date":"2021-12-06","code_links":[{"title":"FacePerceiver/FaRL","url":"https://github.com/FacePerceiver/FaRL"},{"title":"willyfh/farl-face-segmentation","url":"https://github.com/willyfh/farl-face-segmentation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":104904,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPIGA","metrics":{"AUC@10 (inter-ocular)":"60.56","FR@10 (inter-ocular)":"2.08","NME (inter-ocular)":"4.06"},"paper_url":"https://arxiv.org/abs/2210.07233v1","paper_title":"Shape Preserving Facial Landmarks with Graph Attention Networks","paper_date":"2022-10-13","code_links":[{"title":"andresprados/spiga","url":"https://github.com/andresprados/spiga"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104905,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"HIH","metrics":{"AUC@10 (inter-ocular)":"60.50","FR@10 (inter-ocular)":"2.60","NME (inter-ocular)":"4.08"},"paper_url":"https://arxiv.org/abs/2104.03100v2","paper_title":"HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap","paper_date":"2021-04-07","code_links":[{"title":"starhiking/HeatmapInHeatmap","url":"https://github.com/starhiking/HeatmapInHeatmap"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104906,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ADNet","metrics":{"AUC@10 (inter-ocular)":"60.22","FR@10 (inter-ocular)":"2.72","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2105.10697v1","paper_title":"ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging","paper_date":"2021-05-22","code_links":[{"title":"Pea-Shooter/ADNet","url":"https://github.com/Pea-Shooter/ADNet"},{"title":"liuzhen03/ADNet","url":"https://github.com/liuzhen03/ADNet"},{"title":"drhdr-user/drhdr","url":"https://github.com/drhdr-user/drhdr"},{"title":"2023-MindSpore-1/ms-code-224","url":"https://github.com/2023-MindSpore-1/ms-code-224/tree/main/ADNet"},{"title":"2024-MindSpore-1/Code5","url":"https://github.com/2024-MindSpore-1/Code5/tree/main/ADNet"},{"title":"2023-MindSpore-1/ms-code-16","url":"https://github.com/2023-MindSpore-1/ms-code-16/tree/main/ADNet"},{"title":"2023-MindSpore-4/Code8","url":"https://github.com/2023-MindSpore-4/Code8/tree/main/ADNet"},{"title":"MindSpore-paper-code-3/code6","url":"https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104907,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"SPLT","metrics":{"AUC@10 (inter-ocular)":"59.50","FR@10 (inter-ocular)":"2.76","NME (inter-ocular)":"4.14"},"paper_url":"https://arxiv.org/abs/2203.06541v2","paper_title":"Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning","paper_date":"2022-03-13","code_links":[{"title":"jiahao-uts/slpt-master","url":"https://github.com/jiahao-uts/slpt-master"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104908,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"AnchoFace","metrics":{"AUC@10 (inter-ocular)":"57.69","FR@10 (inter-ocular)":"2.96","NME (inter-ocular)":"4.32"},"paper_url":"https://arxiv.org/abs/2007.03221v3","paper_title":"AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses","paper_date":"2020-07-07","code_links":[{"title":"nothingelse92/AnchorFace","url":"https://github.com/nothingelse92/AnchorFace"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104909,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"Awing","metrics":{"AUC@10 (inter-ocular)":"57.19","FR@10 (inter-ocular)":"2.84","NME (inter-ocular)":"4.36"},"paper_url":"https://arxiv.org/abs/1904.07399v3","paper_title":"Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression","paper_date":"2019-04-16","code_links":[{"title":"emilianavt/OpenSeeFace","url":"https://github.com/emilianavt/OpenSeeFace"},{"title":"protossw512/AdaptiveWingLoss","url":"https://github.com/protossw512/AdaptiveWingLoss"},{"title":"SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression","url":"https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression"},{"title":"affromero/SMILE","url":"https://github.com/affromero/SMILE"},{"title":"ttruty/facial-feature-mouse-control","url":"https://github.com/ttruty/facial-feature-mouse-control"},{"title":"mikgur/MADE_CV_1000_facial_landmarks","url":"https://github.com/mikgur/MADE_CV_1000_facial_landmarks"},{"title":"zs7779/FAN_AdaptiveWingLoss","url":"https://github.com/zs7779/FAN_AdaptiveWingLoss"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104910,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"LUVLi","metrics":{"AUC@10 (inter-ocular)":"57.7","FR@10 (inter-ocular)":"3.12","NME (inter-ocular)":"4.37"},"paper_url":"https://arxiv.org/abs/2004.02980v1","paper_title":"LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood","paper_date":"2020-04-06","code_links":[{"title":"abhi1kumar/LUVLi","url":"https://github.com/abhi1kumar/LUVLi"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":0,"source":"archive","tags":[]},{"id":104911,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"ATF","metrics":{"NME (inter-ocular)":"4.49"},"paper_url":"https://dl.acm.org/doi/10.1145/3394171.3414037","paper_title":"ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets","paper_date":"2020-10-12","code_links":[{"title":"starhiking/ATF","url":"https://github.com/starhiking/ATF"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]},{"id":104912,"task":"Face Alignment","parent_task":"Facial Recognition and Modelling","dataset":"WFW (Extra Data)","model_name":"VGG-F","metrics":{"NME (inter-ocular)":"4.57"},"paper_url":"https://arxiv.org/abs/2103.16554v2","paper_title":"Pre-training strategies and datasets for facial representation learning","paper_date":"2021-03-30","code_links":[{"title":"tomas-gajarsky/facetorch","url":"https://github.com/tomas-gajarsky/facetorch"},{"title":"1adrianb/unsupervised-face-representation","url":"https://github.com/1adrianb/unsupervised-face-representation"}],"metrics_order":"[\"NME (inter-ocular)\", \"AUC@10 (inter-ocular)\", \"FR@10 (inter-ocular)\"]","area":"Music","uses_additional_data":1,"source":"archive","tags":[]}]}