task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Easy val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 65.08 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | SA-SSD+EBM | https://arxiv.org/abs/2012.04634v2 | AP | 95.45 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | PV-RCNN++ | https://arxiv.org/abs/2102.00463v3 | AP | 92.57 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 92.29 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | PC-RGNN | https://arxiv.org/abs/2012.10412v3 | AP | 90.94 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | SVGA-Net | https://arxiv.org/abs/2006.04043v2 | AP | 90.59 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | Voxel R-CNN | https://arxiv.org/abs/2012.15712v2 | AP | 89.41 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 84.02 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 83.26 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | MV3D | http://arxiv.org/abs/1611.07759v3 | AP | 71.29 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | MV3D (LiDAR) | http://arxiv.org/abs/1611.07759v3 | AP | 71.19 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy val | PGD | https://arxiv.org/abs/2107.14160v3 | AP | 24.35 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | SpaRC | https://arxiv.org/abs/2411.19860v1 | NDS | 69.9 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | RCBEVDet++ | https://arxiv.org/abs/2409.04979v1 | NDS | 68.7 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | HyDRa | https://arxiv.org/abs/2403.07746v4 | NDS | 64.2 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | RCBEVDet | https://arxiv.org/abs/2403.16440v1 | NDS | 63.9 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | CRN | https://arxiv.org/abs/2304.00670v3 | NDS | 62.4 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | RCM-Fusion | https://arxiv.org/abs/2307.10249v5 | NDS | 58.7 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | X3KD | http://openaccess.thecvf.com//content/CVPR2023/html/Klingner_X3KD_Knowledge_Distillation_Across_Modalities_Tasks_and_Stages_for_Multi-Camera_CVPR_2023_paper.html | NDS | 55.3 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | CRAFT | https://arxiv.org/abs/2209.06535v2 | NDS | 52.3 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | MVFusion | https://arxiv.org/abs/2302.10511v1 | NDS | 51.7 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | ClusterFusion | https://arxiv.org/abs/2309.03734v2 | NDS | 48.7 |
16k > Object Detection > 3D Object Detection | nuscenes Camera-Radar | CenterFusion | https://arxiv.org/abs/2011.04841v1 | NDS | 44.9 |
16k > Object Detection > 3D Object Detection | MultiScan | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.25 | 64.2 |
16k > Object Detection > 3D Object Detection | MultiScan | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.5 | 51.6 |
16k > Object Detection > 3D Object Detection | MultiScan | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.25 | 56.7 |
16k > Object Detection > 3D Object Detection | MultiScan | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.5 | 42.3 |
16k > Object Detection > 3D Object Detection | MultiScan | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.25 | 53.8 |
16k > Object Detection > 3D Object Detection | MultiScan | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.5 | 40.7 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | DEST (based on V-DETR) (TTA) | https://arxiv.org/abs/2503.14493v1 | mAP@0.25 | 78.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | DEST (based on V-DETR) (TTA) | https://arxiv.org/abs/2503.14493v1 | mAP@0.5 | 67.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.25 | 77.5 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.5 | 66.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | V-DETR | https://arxiv.org/abs/2308.04409v1 | mAP@0.25 | 77.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | V-DETR | https://arxiv.org/abs/2308.04409v1 | mAP@0.5 | 65.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | UDeerMvDETR | https://arxiv.org/abs/2408.06604v1 | mAP@0.25 | 78.0 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | UDeerMvDETR | https://arxiv.org/abs/2408.06604v1 | mAP@0.5 | 65.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mAP@0.25 | 76.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | OneFormer3D | https://arxiv.org/abs/2311.14405v1 | mAP@0.5 | 65.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | BFL | null | mAP@0.25 | 74.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | BFL | null | mAP@0.5 | 65.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | Swin3D-L+CAGroup3D | https://arxiv.org/abs/2304.06906v3 | mAP@0.25 | 76.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | Swin3D-L+CAGroup3D | https://arxiv.org/abs/2304.06906v3 | mAP@0.5 | 63.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | QueryFormer | http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html | mAP@0.25 | 73.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | QueryFormer | http://openaccess.thecvf.com//content/ICCV2023/html/Lu_Query_Refinement_Transformer_for_3D_Instance_Segmentation_ICCV_2023_paper.html | mAP@0.5 | 61.7 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | CAGroup3D | https://arxiv.org/abs/2210.04264v1 | mAP@0.25 | 75.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | CAGroup3D | https://arxiv.org/abs/2210.04264v1 | mAP@0.5 | 61.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP@0.25 | 69.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | PBNet | https://arxiv.org/abs/2207.11209v4 | mAP@0.5 | 60.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | SPGroup3D | https://arxiv.org/abs/2312.13641v1 | mAP@0.25 | 74.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | SPGroup3D | https://arxiv.org/abs/2312.13641v1 | mAP@0.5 | 59.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.25 | 73.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.5 | 59.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP@0.25 | 71.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | SoftGroup | https://arxiv.org/abs/2203.01509v1 | mAP@0.5 | 59.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.25 | 72.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.5 | 59.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | DEST (based on GroupFree3D) | https://arxiv.org/abs/2503.14493v1 | mAP@0.25 | 71.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | DEST (based on GroupFree3D) | https://arxiv.org/abs/2503.14493v1 | mAP@0.5 | 58.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.25 | 71.5 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.5 | 57.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | RBGNet | https://arxiv.org/abs/2204.02251v1 | mAP@0.25 | 70.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | RBGNet | https://arxiv.org/abs/2204.02251v1 | mAP@0.5 | 55.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | mAP@0.25 | 71.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | mAP@0.5 | 54.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | TokenFusion | https://arxiv.org/abs/2204.08721v2 | mAP@0.25 | 70.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | TokenFusion | https://arxiv.org/abs/2204.08721v2 | mAP@0.5 | 54.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GroupFree3D | https://arxiv.org/abs/2104.00678v2 | mAP@0.25 | 69.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GroupFree3D | https://arxiv.org/abs/2104.00678v2 | mAP@0.5 | 52.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | BRNet | https://arxiv.org/abs/2104.06114v2 | mAP@0.25 | 66.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | BRNet | https://arxiv.org/abs/2104.06114v2 | mAP@0.5 | 50.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mAP@0.25 | 64.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3D-MPA | https://arxiv.org/abs/2003.13867v1 | mAP@0.5 | 49.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | H3DNet | https://arxiv.org/abs/2006.05682v3 | mAP@0.25 | 67.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | H3DNet | https://arxiv.org/abs/2006.05682v3 | mAP@0.5 | 48.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3DETR-m | https://arxiv.org/abs/2109.08141v1 | mAP@0.25 | 65.0 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3DETR-m | https://arxiv.org/abs/2109.08141v1 | mAP@0.5 | 47.0 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | VoteNet (PC-FractalDB) | http://openaccess.thecvf.com//content/CVPR2022/html/Yamada_Point_Cloud_Pre-Training_With_Natural_3D_Structures_CVPR_2022_paper.html | mAP@0.25 | 63.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | VoteNet (PC-FractalDB) | http://openaccess.thecvf.com//content/CVPR2022/html/Yamada_Point_Cloud_Pre-Training_With_Natural_3D_Structures_CVPR_2022_paper.html | mAP@0.5 | 39.9 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GSDN | https://arxiv.org/abs/2006.12356v1 | mAP@0.25 | 62.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GSDN | https://arxiv.org/abs/2006.12356v1 | mAP@0.5 | 34.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | HGNet | http://openaccess.thecvf.com/content_CVPR_2020/html/Chen_A_Hierarchical_Graph_Network_for_3D_Object_Detection_on_Point_CVPR_2020_paper.html | mAP@0.25 | 61.3 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | HGNet | http://openaccess.thecvf.com/content_CVPR_2020/html/Chen_A_Hierarchical_Graph_Network_for_3D_Object_Detection_on_Point_CVPR_2020_paper.html | mAP@0.5 | 34.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | VoteNet | https://arxiv.org/abs/1904.09664v2 | mAP@0.25 | 58.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | VoteNet | https://arxiv.org/abs/1904.09664v2 | mAP@0.5 | 33.5 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | ImGeoNet (RGB only) | https://arxiv.org/abs/2308.09098v1 | mAP@0.25 | 54.8 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | ImGeoNet (RGB only) | https://arxiv.org/abs/2308.09098v1 | mAP@0.5 | 28.4 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | ImVoxelNet (RGB only) | https://arxiv.org/abs/2106.01178v3 | mAP@0.25 | 48.1 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | ImVoxelNet (RGB only) | https://arxiv.org/abs/2106.01178v3 | mAP@0.5 | 22.7 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3D-SIS | http://arxiv.org/abs/1812.07003v3 | mAP@0.25 | 40.2 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | 3D-SIS | http://arxiv.org/abs/1812.07003v3 | mAP@0.5 | 22.5 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GSPN | http://arxiv.org/abs/1812.03320v1 | mAP@0.25 | 30.6 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | GSPN | http://arxiv.org/abs/1812.03320v1 | mAP@0.5 | 17.7 |
16k > Object Detection > 3D Object Detection | ScanNetV2 | SGPN | https://arxiv.org/abs/1711.08588v2 | mAP@0.25 | 20.7 |
16k > Object Detection > 3D Object Detection | waymo cyclist | DSVT(val) | https://arxiv.org/abs/2301.06051v2 | APH/L2 | 78.0 |
16k > Object Detection > 3D Object Detection | waymo cyclist | CenterFormer | https://arxiv.org/abs/2209.05588v1 | APH/L2 | 73.3 |
16k > Object Detection > 3D Object Detection | waymo cyclist | SST | https://arxiv.org/abs/2112.06375v1 | APH/L2 | 72.17 |
16k > Object Detection > 3D Object Detection | waymo cyclist | CenterPoint | https://arxiv.org/abs/2006.11275v2 | APH/L2 | 71.28 |
16k > Object Detection > 3D Object Detection | waymo cyclist | PV-RCNN | https://arxiv.org/abs/1912.13192v2 | APH/L2 | 71.16 |
16k > Object Detection > 3D Object Detection | waymo cyclist | PillarNeXt | https://arxiv.org/abs/2305.04925v1 | APH/L2 | 70.55 |
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