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 | nuScenes | mqdao | null | mAAE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | NDS | 0.03 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mAP | 0.01 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mATE | 0.97 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mASE | 0.92 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mAOE | 0.93 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mAVE | 0.99 |
16k > Object Detection > 3D Object Detection | nuScenes | Radar-PointGNN: Graph convolutions | null | mAAE | 0.93 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | NDS | 0.01 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mAP | 0.0 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mATE | 1.02 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mASE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mAOE | 1.06 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mAVE | 0.99 |
16k > Object Detection > 3D Object Detection | nuScenes | qww | null | mAAE | 0.9 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | NDS | 0.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mAP | 0.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mATE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mASE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mAOE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mAVE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | Only one | null | mAAE | 1.0 |
16k > Object Detection > 3D Object Detection | nuScenes | MEGVII | https://arxiv.org/abs/1908.09492v1 | NDS | 0.63.3 |
16k > Object Detection > 3D Object Detection | nuScenes | MEGVII | https://arxiv.org/abs/1908.09492v1 | mAP | 0.528 |
16k > Object Detection > 3D Object Detection | Light Snowfall | PV-RCNN | https://arxiv.org/abs/2203.15118v2 | mod. Car AP@.7IoU | 41.79 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | SVGA-Net | https://arxiv.org/abs/2006.04043v2 | AP | 44.56% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | IPOD | http://arxiv.org/abs/1812.05276v1 | AP | 42.39% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | STD | https://arxiv.org/abs/1907.10471v1 | AP | 41.97% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | F-ConvNet | https://arxiv.org/abs/1903.01864v2 | AP | 41.49% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | AVOD + Feature Pyramid | http://arxiv.org/abs/1712.02294v4 | AP | 40.88% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | Frustum PointNets | http://arxiv.org/abs/1711.08488v2 | AP | 40.23% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | Frustrum-PointPillars | https://ieeexplore.ieee.org/document/9607424 | AP | 39.28 % |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 38.75% |
16k > Object Detection > 3D Object Detection | KITTI Pedestrians Hard | VoxelNet | http://arxiv.org/abs/1711.06396v1 | AP | 31.51% |
16k > Object Detection > 3D Object Detection | ONCE | LION | https://arxiv.org/abs/2407.18232v1 | mAP | 66.6 |
16k > Object Detection > 3D Object Detection | ONCE | CenterPoint | https://arxiv.org/abs/2006.11275v2 | mAP | 60.1 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Moderate val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 71.70 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Moderate val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 59.97 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Moderate val | F-PointNet++ [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 56.49 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Moderate val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 55.95 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Easy val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 89.13 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Easy val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 81.4 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Easy val | F-PointNet++ [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 77.15 |
16k > Object Detection > 3D Object Detection | KITTI Cyclist Easy val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 74.54 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Moderate | PiFeNet | https://arxiv.org/abs/2112.15458v3 | Average Precision | 0.4671 |
16k > Object Detection > 3D Object Detection | Argoverse2 | LION | https://arxiv.org/abs/2407.18232v1 | mAP | 41.5 |
16k > Object Detection > 3D Object Detection | Argoverse2 | VoxelNeXt | https://arxiv.org/abs/2303.11301v1 | mAP | 30.7 |
16k > Object Detection > 3D Object Detection | Argoverse | tempVar | null | AVG-CDS | 0.41 |
16k > Object Detection > 3D Object Detection | Argoverse | centerpoint-nuscenes-pretrained | null | AVG-CDS | 0.35 |
16k > Object Detection > 3D Object Detection | Argoverse | Argoverse Detection Baseline | null | AVG-CDS | 0.35 |
16k > Object Detection > 3D Object Detection | Argoverse | ky_nctu_mo | null | AVG-CDS | 0.27 |
16k > Object Detection > 3D Object Detection | Argoverse | Sample baseline | null | AVG-CDS | 0.27 |
16k > Object Detection > 3D Object Detection | Argoverse | baseline | null | AVG-CDS | 0.01 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | LION | https://arxiv.org/abs/2407.18232v1 | mAPH/L2 | 74.0 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | HEDNet | https://arxiv.org/abs/2310.20234v1 | mAPH/L2 | 73.4 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | AVS-Net | https://arxiv.org/abs/2402.17521v3 | mAPH/L2 | 72.4 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | DSVT | https://arxiv.org/abs/2301.06051v2 | mAPH/L2 | 72.1 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | X-Ray DSVT Pillar-Scaled | https://www.ijcai.org/proceedings/2024/1001 | mAPH/L2 | 71.4 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | PV-RCNN++ | https://arxiv.org/abs/2102.00463v3 | mAPH/L2 | 69.5 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | CenterFormer | https://arxiv.org/abs/2209.05588v1 | mAPH/L2 | 68.9 |
16k > Object Detection > 3D Object Detection | Waymo Open Dataset | CenterPoint | https://arxiv.org/abs/2006.11275v2 | mAPH/L2 | 65.8 |
16k > Object Detection > 3D Object Detection | Rope3D | MonoUNI | https://openreview.net/forum?id=v2oGdhbKxi | AP@0.7 | 75.27 |
16k > Object Detection > 3D Object Detection | Rope3D | CoBEV | https://arxiv.org/abs/2310.02815v3 | AP@0.7 | 52.72 |
16k > Object Detection > 3D Object Detection | Rope3D | BEVHeight | https://arxiv.org/abs/2303.08498v2 | AP@0.7 | 45.73 |
16k > Object Detection > 3D Object Detection | Rope3D | BEVDepth | https://arxiv.org/abs/2206.10092v2 | AP@0.7 | 42.56 |
16k > Object Detection > 3D Object Detection | Rope3D | BEVFormer | https://arxiv.org/abs/2211.10439v1 | AP@0.7 | 24.64 |
16k > Object Detection > 3D Object Detection | Rope3D | Kinematic3D+(G) | https://arxiv.org/abs/2007.09548v1 | AP@0.7 | 17.74 |
16k > Object Detection > 3D Object Detection | Rope3D | M3D-RPN+(G) | https://arxiv.org/abs/1907.06038v2 | AP@0.7 | 16.75 |
16k > Object Detection > 3D Object Detection | Rope3D | MonoDLE+(G) | https://arxiv.org/abs/2103.16237v1 | AP@0.7 | 13.58 |
16k > Object Detection > 3D Object Detection | ARKitScenes | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.25 | 61.3 |
16k > Object Detection > 3D Object Detection | ARKitScenes | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.5 | 47.1 |
16k > Object Detection > 3D Object Detection | ARKitScenes | MLCVNet | https://arxiv.org/abs/2004.05679v1 | mAP@0.25 | 41.9 |
16k > Object Detection > 3D Object Detection | ARKitScenes | H3DNet | https://arxiv.org/abs/2006.05682v3 | mAP@0.25 | 38.3 |
16k > Object Detection > 3D Object Detection | ARKitScenes | VoteNet | https://arxiv.org/abs/1904.09664v2 | mAP@0.25 | 35.8 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MonoUNI | https://openreview.net/forum?id=v2oGdhbKxi | AP|R40(moderate) | 87.2 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MonoUNI | https://openreview.net/forum?id=v2oGdhbKxi | AP|R40(easy) | 90.92 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MonoUNI | https://openreview.net/forum?id=v2oGdhbKxi | AP|R40(hard) | 87.2 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CoBEV | https://arxiv.org/abs/2310.02815v3 | AP|R40(moderate) | 69.6 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CoBEV | https://arxiv.org/abs/2310.02815v3 | AP|R40(easy) | 82.0 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CoBEV | https://arxiv.org/abs/2310.02815v3 | AP|R40(hard) | 69.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVHeight | https://arxiv.org/abs/2303.08498v2 | AP|R40(moderate) | 65.8 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVHeight | https://arxiv.org/abs/2303.08498v2 | AP|R40(easy) | 77.8 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVHeight | https://arxiv.org/abs/2303.08498v2 | AP|R40(hard) | 65.9 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVDepth | https://arxiv.org/abs/2206.10092v2 | AP|R40(moderate) | 63.6 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVDepth | https://arxiv.org/abs/2206.10092v2 | AP|R40(easy) | 75.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVDepth | https://arxiv.org/abs/2206.10092v2 | AP|R40(hard) | 63.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CBR | https://arxiv.org/abs/2303.03583v2 | AP|R40(moderate) | 60.1 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CBR | https://arxiv.org/abs/2303.03583v2 | AP|R40(easy) | 72.0 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | CBR | https://arxiv.org/abs/2303.03583v2 | AP|R40(hard) | 60.1 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | PointPillars | https://arxiv.org/abs/1812.05784v2 | AP|R40(moderate) | 54.0 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | PointPillars | https://arxiv.org/abs/1812.05784v2 | AP|R40(easy) | 63.1 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | PointPillars | https://arxiv.org/abs/1812.05784v2 | AP|R40(hard) | 54.0 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MVXNet | http://arxiv.org/abs/1904.01649v1 | AP|R40(moderate) | 53.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MVXNet | http://arxiv.org/abs/1904.01649v1 | AP|R40(easy) | 71.0 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | MVXNet | http://arxiv.org/abs/1904.01649v1 | AP|R40(hard) | 53.8 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVFormer | https://arxiv.org/abs/2203.17270v2 | AP|R40(moderate) | 50.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVFormer | https://arxiv.org/abs/2203.17270v2 | AP|R40(easy) | 61.4 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | BEVFormer | https://arxiv.org/abs/2203.17270v2 | AP|R40(hard) | 50.7 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | ImVoxelNet | https://arxiv.org/abs/2106.01178v3 | AP|R40(moderate) | 37.6 |
16k > Object Detection > 3D Object Detection | DAIR-V2X-I | ImVoxelNet | https://arxiv.org/abs/2106.01178v3 | AP|R40(easy) | 44.8 |
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