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 Pedestrians Easy | SVGA-Net | https://arxiv.org/abs/2006.04043v2 | AP | 55.21% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | STD | https://arxiv.org/abs/1907.10471v1 | AP | 53.08% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | F-ConvNet | https://arxiv.org/abs/1903.01864v2 | AP | 52.37% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | Frustrum-PointPillars | https://ieeexplore.ieee.org/document/9607424 | AP | 51.22 % |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | Frustum PointNets | http://arxiv.org/abs/1711.08488v2 | AP | 51.21% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | AVOD + Feature Pyramid | http://arxiv.org/abs/1712.02294v4 | AP | 50.8% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 47.05% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Easy | VoxelNet | http://arxiv.org/abs/1711.06396v1 | AP | 39.48% |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | LION | https://arxiv.org/abs/2407.18232v1 | NDS | 73.9 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | LION | https://arxiv.org/abs/2407.18232v1 | mAP | 69.8 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | LION | https://arxiv.org/abs/2407.18232v1 | NDS (val) | 72.1 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | LION | https://arxiv.org/abs/2407.18232v1 | mAP (val) | 68.0 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | DSVT | https://arxiv.org/abs/2301.06051v2 | NDS | 72.7 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | DSVT | https://arxiv.org/abs/2301.06051v2 | mAP | 68.4 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | DSVT | https://arxiv.org/abs/2301.06051v2 | NDS (val) | 71.1 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | DSVT | https://arxiv.org/abs/2301.06051v2 | mAP (val) | 66.4 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | PillarNet | https://arxiv.org/abs/2205.07403v5 | NDS | 71.4 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | PillarNet | https://arxiv.org/abs/2205.07403v5 | mAP | 66.0 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | Transfusion | https://arxiv.org/abs/2203.11496v1 | NDS | 70.2 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | Transfusion | https://arxiv.org/abs/2203.11496v1 | mAP | 65.5 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | Transfusion | https://arxiv.org/abs/2203.11496v1 | NDS (val) | 70.1 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | Transfusion | https://arxiv.org/abs/2203.11496v1 | mAP (val) | 65.1 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CenterPoint | https://arxiv.org/abs/2006.11275v2 | NDS | 67.3 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CenterPoint | https://arxiv.org/abs/2006.11275v2 | mAP | 60.3 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CenterPoint | https://arxiv.org/abs/2006.11275v2 | NDS (val) | 66.8 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CenterPoint | https://arxiv.org/abs/2006.11275v2 | mAP (val) | 59.6 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CBGS | https://arxiv.org/abs/1908.09492v1 | NDS | 63.3 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CBGS | https://arxiv.org/abs/1908.09492v1 | mAP | 52.8 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CBGS | https://arxiv.org/abs/1908.09492v1 | NDS (val) | 62.3 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | CBGS | https://arxiv.org/abs/1908.09492v1 | mAP (val) | 50.6 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | PointPillar | https://arxiv.org/abs/1812.05784v2 | NDS | 45.3 |
16k > Object Detection > 3D Object Detection | nuScenes LiDAR only | PointPillar | https://arxiv.org/abs/1812.05784v2 | mAP | 30.5 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Point-GCC+TR3D+FF | https://arxiv.org/abs/2305.19623v2 | mAP@0.25 | 69.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Point-GCC+TR3D+FF | https://arxiv.org/abs/2305.19623v2 | mAP@0.5 | 54.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TR3D+FF | https://arxiv.org/abs/2302.02858v3 | mAP@0.25 | 69.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TR3D+FF | https://arxiv.org/abs/2302.02858v3 | mAP@0.5 | 53.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DEST (based on V-DETR) (TTA) | https://arxiv.org/abs/2503.14493v1 | mAP@0.25 | 69.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DEST (based on V-DETR) (TTA) | https://arxiv.org/abs/2503.14493v1 | mAP@0.5 | 52.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | V-DETR | https://arxiv.org/abs/2308.04409v1 | mAP@0.25 | 68.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | V-DETR | https://arxiv.org/abs/2308.04409v1 | mAP@0.5 | 51.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.25 | 67.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.5 | 51.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DeMF | https://arxiv.org/abs/2207.10589v1 | mAP@0.25 | 67.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DeMF | https://arxiv.org/abs/2207.10589v1 | mAP@0.5 | 51.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TR3D (Geo only) | https://arxiv.org/abs/2302.02858v3 | mAP@0.25 | 67.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TR3D (Geo only) | https://arxiv.org/abs/2302.02858v3 | mAP@0.5 | 50.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | CAGroup3D(Geo only) | https://arxiv.org/abs/2210.04264v1 | mAP@0.25 | 66.8 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | CAGroup3D(Geo only) | https://arxiv.org/abs/2210.04264v1 | mAP@0.5 | 50.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | OctFormer | https://arxiv.org/abs/2305.03045v2 | mAP@0.25 | 66.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | OctFormer | https://arxiv.org/abs/2305.03045v2 | mAP@0.5 | 50.6 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | SPGroup3D(Geo only) | https://arxiv.org/abs/2312.13641v1 | mAP@0.25 | 65.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | SPGroup3D(Geo only) | https://arxiv.org/abs/2312.13641v1 | mAP@0.5 | 47.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DEST (based on GroupFree3D) | https://arxiv.org/abs/2503.14493v1 | mAP@0.25 | 65.3 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DEST (based on GroupFree3D) | https://arxiv.org/abs/2503.14493v1 | mAP@0.5 | 48.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TokenFusion | https://arxiv.org/abs/2204.08721v2 | mAP@0.25 | 64.9 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | TokenFusion | https://arxiv.org/abs/2204.08721v2 | mAP@0.5 | 48.3 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | mAP@0.25 | 64.9 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | RepSurf-U | https://arxiv.org/abs/2205.05740v2 | mAP@0.5 | 47.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | FCAF3D (Geo only) | https://arxiv.org/abs/2112.00322v2 | mAP@0.25 | 64.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | FCAF3D (Geo only) | https://arxiv.org/abs/2112.00322v2 | mAP@0.5 | 48.9 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | RBGNet(Geo only) | https://arxiv.org/abs/2204.02251v1 | mAP@0.25 | 64.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | RBGNet(Geo only) | https://arxiv.org/abs/2204.02251v1 | mAP@0.5 | 47.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | LCPFormer | https://arxiv.org/abs/2210.12755v2 | mAP@0.25 | 63.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | LCPFormer | https://arxiv.org/abs/2210.12755v2 | mAP@0.5 | 46.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | GroupFree3D(Geo only) | https://arxiv.org/abs/2104.00678v2 | mAP@0.25 | 63.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | GroupFree3D(Geo only) | https://arxiv.org/abs/2104.00678v2 | mAP@0.5 | 45.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | HGNet (Geo only) | 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 | 61.6 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | BRNet(Geo only) | https://arxiv.org/abs/2104.06114v2 | mAP@0.25 | 61.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | BRNet(Geo only) | https://arxiv.org/abs/2104.06114v2 | mAP@0.5 | 43.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 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 | 60.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 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 | 35.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | H3DNet | https://arxiv.org/abs/2006.05682v3 | mAP@0.25 | 60.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | H3DNet | https://arxiv.org/abs/2006.05682v3 | mAP@0.5 | 39.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | VoteNet (Geo only) | https://arxiv.org/abs/1904.09664v2 | mAP@0.25 | 59.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | VoteNet (Geo only) | https://arxiv.org/abs/1904.09664v2 | mAP@0.5 | 35.8 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 3DETR-m | https://arxiv.org/abs/2109.08141v1 | mAP@0.25 | 59.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 3DETR-m | https://arxiv.org/abs/2109.08141v1 | mAP@0.5 | 32.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | COG+surface+context | https://arxiv.org/abs/1906.04725v1 | mAP@0.25 | 54.3 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | F-PointNet | http://arxiv.org/abs/1711.08488v2 | mAP@0.25 | 54.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | F-PointNet | http://arxiv.org/abs/1711.08488v2 | Inference Speed (s) | 0.12 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | COG+surface | http://openaccess.thecvf.com/content_cvpr_2018/html/Ren_3D_Object_Detection_CVPR_2018_paper.html | mAP@0.25 | 51.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | COG | http://openaccess.thecvf.com/content_cvpr_2016/html/Ren_Three-Dimensional_Object_Detection_CVPR_2016_paper.html | mAP@0.25 | 47.6 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 2D-driven | http://openaccess.thecvf.com/content_iccv_2017/html/Lahoud_2D-Driven_3D_Object_ICCV_2017_paper.html | mAP@0.25 | 45.1 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | 2D-driven | http://openaccess.thecvf.com/content_iccv_2017/html/Lahoud_2D-Driven_3D_Object_ICCV_2017_paper.html | Inference Speed (s) | 4.15 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2) | https://www.mdpi.com/1424-8220/21/4/1213/htm | mAP@0.25 | 45.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2) | https://www.mdpi.com/1424-8220/21/4/1213/htm | Inference Speed (s) | 0.24 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Frustum VoxNet (+3D ResNetFCN6) | https://arxiv.org/abs/1910.05483v3 | mAP@0.25 | 37.7 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Frustum VoxNet (+3D ResNetFCN6) | https://arxiv.org/abs/1910.05483v3 | Inference Speed (s) | 0.16 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | Frustum VoxNet (YOLO v3+3D ResNetFCN6) | https://arxiv.org/abs/1910.05483v3 | Inference Speed (s) | 0.048 |
16k > Object Detection > 3D Object Detection | SUN-RGBD val | DSS | http://arxiv.org/abs/1511.02300v2 | Inference Speed (s) | 19.55 |
16k > Object Detection > 3D Object Detection | waymo all_ns | CenterPoint | https://arxiv.org/abs/2006.11275v2 | APH/L2 | 71.93 |
16k > Object Detection > 3D Object Detection | waymo all_ns | PV-RCNN | https://arxiv.org/abs/1912.13192v2 | APH/L2 | 71.52 |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | TRTConv | null | AP | 91.90 % |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | GLENet-VR | https://arxiv.org/abs/2207.02466v5 | AP | 91.67% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | SE-SSD | https://arxiv.org/abs/2104.09804v1 | AP | 91.49% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | SA-SSD+EBM | https://arxiv.org/abs/2012.04634v2 | AP | 91.05% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | 3D Dual-Fusion | https://arxiv.org/abs/2211.13529v2 | AP | 91.01% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | SPG | https://arxiv.org/abs/2108.06709v1 | AP | 90.5% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 90.28% |
16k > Object Detection > 3D Object Detection | KITTI Cars Easy | PV-RCNN | https://arxiv.org/abs/1912.13192v2 | AP | 90.25% |
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