{"task":"3D Instance Segmentation","dataset":"S3DIS","metric_names":["AP@50","mAP","mPrec","mRec","mIoU","mAcc","mCov","mWCov"],"rows":[{"id":86268,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"OneFormer3D","metrics":{"AP@50":"75.8","mAP":"63.0","mPrec":"82.3","mRec":"74.1"},"paper_url":"https://arxiv.org/abs/2311.14405v1","paper_title":"OneFormer3D: One Transformer for Unified Point Cloud Segmentation","paper_date":"2023-11-24","code_links":[{"title":"oneformer3d/oneformer3d","url":"https://github.com/oneformer3d/oneformer3d"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86269,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"Mask3D","metrics":{"AP@50":"75.5","mAP":"64.5"},"paper_url":"https://arxiv.org/abs/2210.03105v2","paper_title":"Mask3D: Mask Transformer for 3D Semantic Instance Segmentation","paper_date":"2022-10-06","code_links":[{"title":"jonasschult/mask3d","url":"https://github.com/jonasschult/mask3d"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86270,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"PBNet","metrics":{"AP@50":"70.6","mAP":"59.5"},"paper_url":"https://arxiv.org/abs/2207.11209v4","paper_title":"Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization","paper_date":"2022-07-22","code_links":[{"title":"weiguangzhao/PBNet","url":"https://github.com/weiguangzhao/PBNet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86271,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"ISBNet","metrics":{"AP@50":"70.5","mAP":"60.8","mCov":"74.9","mPrec":"77.5","mRec":"77.1","mWCov":"76.8"},"paper_url":"https://arxiv.org/abs/2303.00246v2","paper_title":"ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution","paper_date":"2023-03-01","code_links":[{"title":"VinAIResearch/ISBNet","url":"https://github.com/VinAIResearch/ISBNet"},{"title":"yunshin/SphericalMask","url":"https://github.com/yunshin/SphericalMask"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":86272,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"TD3D","metrics":{"AP@50":"70.4","mAP":"58.1"},"paper_url":"https://arxiv.org/abs/2302.02871v4","paper_title":"Top-Down Beats Bottom-Up in 3D Instance Segmentation","paper_date":"2023-02-06","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":86273,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"MSTA3D","metrics":{"AP@50":"70.0","mPrec":"80.6","mRec":"70.1"},"paper_url":"https://arxiv.org/abs/2411.01781v3","paper_title":"MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation","paper_date":"2024-11-04","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86274,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"MaskGroup","metrics":{"AP@50":"69.9","mPrec":"66.6","mRec":"69.6"},"paper_url":"https://arxiv.org/abs/2203.14662v1","paper_title":"MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation","paper_date":"2022-03-28","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86275,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"SPFormer","metrics":{"AP@50":"69.2","mPrec":"74.0","mRec":"71.1"},"paper_url":"https://arxiv.org/abs/2211.15766v1","paper_title":"Superpoint Transformer for 3D Scene Instance Segmentation","paper_date":"2022-11-28","code_links":[{"title":"sunjiahao1999/spformer","url":"https://github.com/sunjiahao1999/spformer"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86276,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"SoftGroup","metrics":{"AP@50":"68.9","mAP":"54.4","mCov":"69.3","mPrec":"75.3","mRec":"69.8","mWCov":"71.7"},"paper_url":"https://arxiv.org/abs/2203.01509v1","paper_title":"SoftGroup for 3D Instance Segmentation on Point Clouds","paper_date":"2022-03-03","code_links":[{"title":"thangvubk/softgroup","url":"https://github.com/thangvubk/softgroup"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":86277,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"SSTNet","metrics":{"AP@50":"67.8","mAP":"54.1","mPrec":"73.5","mRec":"73.4"},"paper_url":"https://arxiv.org/abs/2108.07478v1","paper_title":"Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks","paper_date":"2021-08-17","code_links":[{"title":"gorilla-lab-scut/sstnet","url":"https://github.com/gorilla-lab-scut/sstnet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86278,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"PointGroup","metrics":{"AP@50":"64.0","mPrec":"69.6","mRec":"69.2"},"paper_url":"https://arxiv.org/abs/2004.01658v1","paper_title":"PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation","paper_date":"2020-04-03","code_links":[{"title":"Pointcept/Pointcept","url":"https://github.com/Pointcept/Pointcept"},{"title":"dvlab-research/pointgroup","url":"https://github.com/dvlab-research/pointgroup"},{"title":"3dlg-hcvc/M3DRef-CLIP","url":"https://github.com/3dlg-hcvc/M3DRef-CLIP"},{"title":"atharvmane/ges3vig","url":"https://github.com/atharvmane/ges3vig"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86279,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"DKNet","metrics":{"mCov":"70.3","mPrec":"75.3","mRec":"71.1","mWCov":"72.8"},"paper_url":"https://arxiv.org/abs/2207.07372v2","paper_title":"3D Instances as 1D Kernels","paper_date":"2022-07-15","code_links":[{"title":"w1zheng/dknet","url":"https://github.com/w1zheng/dknet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86280,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"HAIS","metrics":{"mCov":"67.0","mPrec":"73.2","mRec":"69.4","mWCov":"70.4"},"paper_url":"https://arxiv.org/abs/2108.02350v1","paper_title":"Hierarchical Aggregation for 3D Instance Segmentation","paper_date":"2021-08-05","code_links":[{"title":"hustvl/HAIS","url":"https://github.com/hustvl/HAIS"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":86281,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"GICN","metrics":{"mPrec":"68.5","mRec":"50.8"},"paper_url":"https://arxiv.org/abs/2007.09860v1","paper_title":"Learning Gaussian Instance Segmentation in Point Clouds","paper_date":"2020-07-20","code_links":[{"title":"LiuShihHung/GICN","url":"https://github.com/LiuShihHung/GICN"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86282,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"JSNet","metrics":{"mCov":"54.1","mPrec":"66.9","mRec":"53.9","mWCov":"58"},"paper_url":"https://arxiv.org/abs/1912.09654v1","paper_title":"JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds","paper_date":"2019-12-20","code_links":[{"title":"dlinzhao/JSNet","url":"https://github.com/dlinzhao/JSNet"},{"title":"LaureenK/JSNet_LK","url":"https://github.com/LaureenK/JSNet_LK"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86283,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"3D-MPA","metrics":{"mPrec":"66.7","mRec":"64.1"},"paper_url":"https://arxiv.org/abs/2003.13867v1","paper_title":"3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation","paper_date":"2020-03-30","code_links":[{"title":"francisengelmann/3D-MPA","url":"https://github.com/francisengelmann/3D-MPA"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86284,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"3D-BoNet","metrics":{"mPrec":"65.6","mRec":"47.6"},"paper_url":"https://arxiv.org/abs/1906.01140v2","paper_title":"Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds","paper_date":"2019-06-04","code_links":[{"title":"Yang7879/3D-BoNet","url":"https://github.com/Yang7879/3D-BoNet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86285,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"SASO","metrics":{"mAcc":"72.8","mCov":"54.5","mIoU":"61.1","mPrec":"64.2","mRec":"50.8","mWCov":"58.3"},"paper_url":"https://arxiv.org/abs/2006.15015v1","paper_title":"SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization","paper_date":"2020-06-25","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86286,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"ASIS","metrics":{"mPrec":"63.6","mRec":"47.5"},"paper_url":"http://arxiv.org/abs/1902.09852v2","paper_title":"Associatively Segmenting Instances and Semantics in Point Clouds","paper_date":"2019-02-26","code_links":[{"title":"WXinlong/ASIS","url":"https://github.com/WXinlong/ASIS"},{"title":"tuananh1007/Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds","url":"https://github.com/tuananh1007/Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds"},{"title":"LebronGG/ASIS","url":"https://github.com/LebronGG/ASIS"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86287,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"PartNet","metrics":{"mRec":"43.4%"},"paper_url":"https://arxiv.org/abs/1903.00709v5","paper_title":"PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation","paper_date":"2019-03-02","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":86288,"task":"3D Instance Segmentation","parent_task":"Instance Segmentation","dataset":"S3DIS","model_name":"PointCNN","metrics":{"mAcc":"75.61","mIoU":"65.39%"},"paper_url":"http://arxiv.org/abs/1801.07791v5","paper_title":"PointCNN: Convolution On $\\mathcal{X}$-Transformed Points","paper_date":"2018-01-23","code_links":[{"title":"pyg-team/pytorch_geometric","url":"https://github.com/pyg-team/pytorch_geometric"},{"title":"yangyanli/PointCNN","url":"https://github.com/yangyanli/PointCNN"},{"title":"luost26/diffusion-point-cloud","url":"https://github.com/luost26/diffusion-point-cloud"},{"title":"nicolas-chaulet/torch-points3d","url":"https://github.com/nicolas-chaulet/torch-points3d"},{"title":"hxdengBerkeley/PointCNN.Pytorch","url":"https://github.com/hxdengBerkeley/PointCNN.Pytorch"},{"title":"octree-nn/ocnn-pytorch","url":"https://github.com/octree-nn/ocnn-pytorch"},{"title":"agarret7/PointCNN","url":"https://github.com/agarret7/PointCNN"},{"title":"chinakook/PointCNN.MX","url":"https://github.com/chinakook/PointCNN.MX"},{"title":"lanlan96/3drm","url":"https://github.com/lanlan96/3drm"},{"title":"NMADALI97/PointCNN_Pytorch","url":"https://github.com/NMADALI97/PointCNN_Pytorch"},{"title":"LebronGG/PointCnn","url":"https://github.com/LebronGG/PointCnn"},{"title":"Lw510107/PointCNN","url":"https://github.com/Lw510107/PointCNN"},{"title":"c3210927/point_cnn","url":"https://github.com/c3210927/point_cnn"},{"title":"tch/pointcnn","url":"https://github.com/tch/pointcnn"},{"title":"dream-chaser/pointcnn_for_3DFER","url":"https://github.com/dream-chaser/pointcnn_for_3DFER"},{"title":"tschattschneider/pointcnn","url":"https://github.com/tschattschneider/pointcnn"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154667,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"OneFormer3D","metrics":{"AP@50":"75.8","mAP":"63.0","mPrec":"82.3","mRec":"74.1"},"paper_url":"https://arxiv.org/abs/2311.14405v1","paper_title":"OneFormer3D: One Transformer for Unified Point Cloud Segmentation","paper_date":"2023-11-24","code_links":[{"title":"oneformer3d/oneformer3d","url":"https://github.com/oneformer3d/oneformer3d"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154668,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"Mask3D","metrics":{"AP@50":"75.5","mAP":"64.5"},"paper_url":"https://arxiv.org/abs/2210.03105v2","paper_title":"Mask3D: Mask Transformer for 3D Semantic Instance Segmentation","paper_date":"2022-10-06","code_links":[{"title":"jonasschult/mask3d","url":"https://github.com/jonasschult/mask3d"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154669,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"PBNet","metrics":{"AP@50":"70.6","mAP":"59.5"},"paper_url":"https://arxiv.org/abs/2207.11209v4","paper_title":"Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization","paper_date":"2022-07-22","code_links":[{"title":"weiguangzhao/PBNet","url":"https://github.com/weiguangzhao/PBNet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154670,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"ISBNet","metrics":{"AP@50":"70.5","mAP":"60.8","mCov":"74.9","mPrec":"77.5","mRec":"77.1","mWCov":"76.8"},"paper_url":"https://arxiv.org/abs/2303.00246v2","paper_title":"ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution","paper_date":"2023-03-01","code_links":[{"title":"VinAIResearch/ISBNet","url":"https://github.com/VinAIResearch/ISBNet"},{"title":"yunshin/SphericalMask","url":"https://github.com/yunshin/SphericalMask"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":154671,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"TD3D","metrics":{"AP@50":"70.4","mAP":"58.1"},"paper_url":"https://arxiv.org/abs/2302.02871v4","paper_title":"Top-Down Beats Bottom-Up in 3D Instance Segmentation","paper_date":"2023-02-06","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":154672,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"MSTA3D","metrics":{"AP@50":"70.0","mPrec":"80.6","mRec":"70.1"},"paper_url":"https://arxiv.org/abs/2411.01781v3","paper_title":"MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation","paper_date":"2024-11-04","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154673,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"MaskGroup","metrics":{"AP@50":"69.9","mPrec":"66.6","mRec":"69.6"},"paper_url":"https://arxiv.org/abs/2203.14662v1","paper_title":"MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation","paper_date":"2022-03-28","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154674,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"SPFormer","metrics":{"AP@50":"69.2","mPrec":"74.0","mRec":"71.1"},"paper_url":"https://arxiv.org/abs/2211.15766v1","paper_title":"Superpoint Transformer for 3D Scene Instance Segmentation","paper_date":"2022-11-28","code_links":[{"title":"sunjiahao1999/spformer","url":"https://github.com/sunjiahao1999/spformer"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154675,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"SoftGroup","metrics":{"AP@50":"68.9","mAP":"54.4","mCov":"69.3","mPrec":"75.3","mRec":"69.8","mWCov":"71.7"},"paper_url":"https://arxiv.org/abs/2203.01509v1","paper_title":"SoftGroup for 3D Instance Segmentation on Point Clouds","paper_date":"2022-03-03","code_links":[{"title":"thangvubk/softgroup","url":"https://github.com/thangvubk/softgroup"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":154676,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"SSTNet","metrics":{"AP@50":"67.8","mAP":"54.1","mPrec":"73.5","mRec":"73.4"},"paper_url":"https://arxiv.org/abs/2108.07478v1","paper_title":"Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks","paper_date":"2021-08-17","code_links":[{"title":"gorilla-lab-scut/sstnet","url":"https://github.com/gorilla-lab-scut/sstnet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154677,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"PointGroup","metrics":{"AP@50":"64.0","mPrec":"69.6","mRec":"69.2"},"paper_url":"https://arxiv.org/abs/2004.01658v1","paper_title":"PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation","paper_date":"2020-04-03","code_links":[{"title":"Pointcept/Pointcept","url":"https://github.com/Pointcept/Pointcept"},{"title":"dvlab-research/pointgroup","url":"https://github.com/dvlab-research/pointgroup"},{"title":"3dlg-hcvc/M3DRef-CLIP","url":"https://github.com/3dlg-hcvc/M3DRef-CLIP"},{"title":"atharvmane/ges3vig","url":"https://github.com/atharvmane/ges3vig"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154678,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"DKNet","metrics":{"mCov":"70.3","mPrec":"75.3","mRec":"71.1","mWCov":"72.8"},"paper_url":"https://arxiv.org/abs/2207.07372v2","paper_title":"3D Instances as 1D Kernels","paper_date":"2022-07-15","code_links":[{"title":"w1zheng/dknet","url":"https://github.com/w1zheng/dknet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154679,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"HAIS","metrics":{"mCov":"67.0","mPrec":"73.2","mRec":"69.4","mWCov":"70.4"},"paper_url":"https://arxiv.org/abs/2108.02350v1","paper_title":"Hierarchical Aggregation for 3D Instance Segmentation","paper_date":"2021-08-05","code_links":[{"title":"hustvl/HAIS","url":"https://github.com/hustvl/HAIS"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":1,"source":"archive","tags":[]},{"id":154680,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"GICN","metrics":{"mPrec":"68.5","mRec":"50.8"},"paper_url":"https://arxiv.org/abs/2007.09860v1","paper_title":"Learning Gaussian Instance Segmentation in Point Clouds","paper_date":"2020-07-20","code_links":[{"title":"LiuShihHung/GICN","url":"https://github.com/LiuShihHung/GICN"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154681,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"JSNet","metrics":{"mCov":"54.1","mPrec":"66.9","mRec":"53.9","mWCov":"58"},"paper_url":"https://arxiv.org/abs/1912.09654v1","paper_title":"JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds","paper_date":"2019-12-20","code_links":[{"title":"dlinzhao/JSNet","url":"https://github.com/dlinzhao/JSNet"},{"title":"LaureenK/JSNet_LK","url":"https://github.com/LaureenK/JSNet_LK"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154682,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"3D-MPA","metrics":{"mPrec":"66.7","mRec":"64.1"},"paper_url":"https://arxiv.org/abs/2003.13867v1","paper_title":"3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation","paper_date":"2020-03-30","code_links":[{"title":"francisengelmann/3D-MPA","url":"https://github.com/francisengelmann/3D-MPA"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154683,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"3D-BoNet","metrics":{"mPrec":"65.6","mRec":"47.6"},"paper_url":"https://arxiv.org/abs/1906.01140v2","paper_title":"Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds","paper_date":"2019-06-04","code_links":[{"title":"Yang7879/3D-BoNet","url":"https://github.com/Yang7879/3D-BoNet"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154684,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"SASO","metrics":{"mAcc":"72.8","mCov":"54.5","mIoU":"61.1","mPrec":"64.2","mRec":"50.8","mWCov":"58.3"},"paper_url":"https://arxiv.org/abs/2006.15015v1","paper_title":"SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization","paper_date":"2020-06-25","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154685,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"ASIS","metrics":{"mPrec":"63.6","mRec":"47.5"},"paper_url":"http://arxiv.org/abs/1902.09852v2","paper_title":"Associatively Segmenting Instances and Semantics in Point Clouds","paper_date":"2019-02-26","code_links":[{"title":"WXinlong/ASIS","url":"https://github.com/WXinlong/ASIS"},{"title":"tuananh1007/Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds","url":"https://github.com/tuananh1007/Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds"},{"title":"LebronGG/ASIS","url":"https://github.com/LebronGG/ASIS"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154686,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"PartNet","metrics":{"mRec":"43.4%"},"paper_url":"https://arxiv.org/abs/1903.00709v5","paper_title":"PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation","paper_date":"2019-03-02","code_links":[],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]},{"id":154687,"task":"3D Instance Segmentation","parent_task":null,"dataset":"S3DIS","model_name":"PointCNN","metrics":{"mAcc":"75.61","mIoU":"65.39%"},"paper_url":"http://arxiv.org/abs/1801.07791v5","paper_title":"PointCNN: Convolution On $\\mathcal{X}$-Transformed Points","paper_date":"2018-01-23","code_links":[{"title":"pyg-team/pytorch_geometric","url":"https://github.com/pyg-team/pytorch_geometric"},{"title":"yangyanli/PointCNN","url":"https://github.com/yangyanli/PointCNN"},{"title":"luost26/diffusion-point-cloud","url":"https://github.com/luost26/diffusion-point-cloud"},{"title":"nicolas-chaulet/torch-points3d","url":"https://github.com/nicolas-chaulet/torch-points3d"},{"title":"hxdengBerkeley/PointCNN.Pytorch","url":"https://github.com/hxdengBerkeley/PointCNN.Pytorch"},{"title":"octree-nn/ocnn-pytorch","url":"https://github.com/octree-nn/ocnn-pytorch"},{"title":"agarret7/PointCNN","url":"https://github.com/agarret7/PointCNN"},{"title":"chinakook/PointCNN.MX","url":"https://github.com/chinakook/PointCNN.MX"},{"title":"lanlan96/3drm","url":"https://github.com/lanlan96/3drm"},{"title":"NMADALI97/PointCNN_Pytorch","url":"https://github.com/NMADALI97/PointCNN_Pytorch"},{"title":"LebronGG/PointCnn","url":"https://github.com/LebronGG/PointCnn"},{"title":"Lw510107/PointCNN","url":"https://github.com/Lw510107/PointCNN"},{"title":"c3210927/point_cnn","url":"https://github.com/c3210927/point_cnn"},{"title":"tch/pointcnn","url":"https://github.com/tch/pointcnn"},{"title":"dream-chaser/pointcnn_for_3DFER","url":"https://github.com/dream-chaser/pointcnn_for_3DFER"},{"title":"tschattschneider/pointcnn","url":"https://github.com/tschattschneider/pointcnn"}],"metrics_order":"[\"AP@50\", \"mAP\", \"mPrec\", \"mRec\", \"mIoU\", \"mAcc\", \"mCov\", \"mWCov\"]","area":"Computer Vision","uses_additional_data":0,"source":"archive","tags":[]}]}