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 | DTTD-Mobile | ES6D | https://arxiv.org/abs/2204.01080v1 | ADD AUC | 13.25 |
16k > Object Detection > 3D Object Detection | DTTD-Mobile | ES6D | https://arxiv.org/abs/2204.01080v1 | ADD-S AUC | 37.38 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Hard val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 56.78 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Hard val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 56.49 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Hard val | F-PointNet++ [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 53.59 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Hard val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 49.28 |
16k > Object Detection > 3D Object Detection | IRV2V | CoBEVFlow | null | AP50 | 86.4 |
16k > Object Detection > 3D Object Detection | IRV2V | CoBEVFlow | null | AP70 | 82.7 |
16k > Object Detection > 3D Object Detection | KITTI Cyclists Moderate val | Deformable PV-RCNN | https://arxiv.org/abs/2008.08766v1 | AP | 73.46 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mAP | 0.478 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mATE | 0.113 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mAOE | 0.207 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mASE | 0.085 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mAVE | 0.53 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | SDS | 0.622 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mAP | 0.477 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mATE | 0.113 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mAOE | 0.224 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mASE | 0.09 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mAVE | 0.55 |
16k > Object Detection > 3D Object Detection | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | SDS | 0.617 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mAP | 0.481 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mATE | 0.146 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mAOE | 0.122 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mASE | 0.127 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mAVE | 1.54 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | SDS | 0.566 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mAP | 0.481 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mATE | 0.144 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mAOE | 0.133 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mASE | 0.134 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mAVE | 1.56 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | SDS | 0.564 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mAP | 0.221 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mATE | 0.744 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mAOE | 1.044 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mASE | 0.137 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mAVE | 4.65 |
16k > Object Detection > 3D Object Detection | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | SDS | 0.251 |
16k > Object Detection > 3D Object Detection | V2X-SIM | QUEST | https://arxiv.org/abs/2308.01804v3 | mAP | 23.9 |
16k > Object Detection > 3D Object Detection | V2X-SIM | QUEST | https://arxiv.org/abs/2308.01804v3 | mATE | 0.832 |
16k > Object Detection > 3D Object Detection | V2X-SIM | QUEST | https://arxiv.org/abs/2308.01804v3 | mASE | 0.259 |
16k > Object Detection > 3D Object Detection | V2X-SIM | QUEST | https://arxiv.org/abs/2308.01804v3 | mAOE | 0.390 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2X-ViT | https://arxiv.org/abs/2203.10638v3 | mAP | 22.4 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2X-ViT | https://arxiv.org/abs/2203.10638v3 | mATE | 0.848 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2X-ViT | https://arxiv.org/abs/2203.10638v3 | mASE | 0.250 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2X-ViT | https://arxiv.org/abs/2203.10638v3 | mAOE | 0.383 |
16k > Object Detection > 3D Object Detection | V2X-SIM | DiscoNet | https://arxiv.org/abs/2111.00643v2 | mAP | 22.0 |
16k > Object Detection > 3D Object Detection | V2X-SIM | DiscoNet | https://arxiv.org/abs/2111.00643v2 | mATE | 0.787 |
16k > Object Detection > 3D Object Detection | V2X-SIM | DiscoNet | https://arxiv.org/abs/2111.00643v2 | mASE | 0.267 |
16k > Object Detection > 3D Object Detection | V2X-SIM | DiscoNet | https://arxiv.org/abs/2111.00643v2 | mAOE | 0.411 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2VNet | https://arxiv.org/abs/2008.07519v1 | mAP | 21.4 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2VNet | https://arxiv.org/abs/2008.07519v1 | mATE | 0.768 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2VNet | https://arxiv.org/abs/2008.07519v1 | mASE | 0.255 |
16k > Object Detection > 3D Object Detection | V2X-SIM | V2VNet | https://arxiv.org/abs/2008.07519v1 | mAOE | 0.349 |
16k > Object Detection > 3D Object Detection | V2X-SIM | Where2comm | https://arxiv.org/abs/2209.12836v1 | mAP | 19.0 |
16k > Object Detection > 3D Object Detection | V2X-SIM | Where2comm | https://arxiv.org/abs/2209.12836v1 | mATE | 0.911 |
16k > Object Detection > 3D Object Detection | V2X-SIM | Where2comm | https://arxiv.org/abs/2209.12836v1 | mASE | 0.275 |
16k > Object Detection > 3D Object Detection | V2X-SIM | Where2comm | https://arxiv.org/abs/2209.12836v1 | mAOE | 0.310 |
16k > Object Detection > 3D Object Detection | Clear Weather | PV-RCNN | https://arxiv.org/abs/2203.15118v2 | mod. Car AP@.7IoU | 45.71 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | SA-SSD+EBM | https://arxiv.org/abs/2012.04634v2 | AP | 86.83 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 85.41 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | PV-RCNN++ | https://arxiv.org/abs/2102.00463v3 | AP | 84.83 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | Voxel R-CNN | https://arxiv.org/abs/2012.15712v2 | AP | 84.52 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | Deformable PV-RCNN | https://arxiv.org/abs/2008.08766v1 | AP | 83.3 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | PC-RGNN | https://arxiv.org/abs/2012.10412v3 | AP | 81.43 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | SVGA-Net | https://arxiv.org/abs/2006.04043v2 | AP | 80.23 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 71.54 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | F-PointNet [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 69.28 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | MV3D | http://arxiv.org/abs/1611.07759v3 | AP | 62.68 |
16k > Object Detection > 3D Object Detection | KITTI Cars Moderate val | PGD | https://arxiv.org/abs/2107.14160v3 | AP | 18.34 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | Uni3DETR | https://arxiv.org/abs/2310.05699v1 | mAP@0.25 | 67.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | Uni3DETR | https://arxiv.org/abs/2310.05699v1 | mAP@0.5 | 50.3 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | CAGroup3D (Geo Only) | https://arxiv.org/abs/2210.04264v1 | mAP@0.25 | 66.8 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | CAGroup3D (Geo Only) | https://arxiv.org/abs/2210.04264v1 | mAP@0.5 | 50.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | ImVoteNet | https://arxiv.org/abs/2001.10692v1 | mAP@0.25 | 63.4 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | GroupFree3D | https://arxiv.org/abs/2104.00678v2 | mAP@0.25 | 63.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | GroupFree3D | https://arxiv.org/abs/2104.00678v2 | mAP@0.5 | 45.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | STRL + VoteNet ShapeNet_Pretrain | https://arxiv.org/abs/2109.00179v1 | mAP@0.25 | 59.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | STRL + VoteNet | https://arxiv.org/abs/2109.00179v1 | mAP@0.25 | 58.2 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | Frustum PointNets | http://arxiv.org/abs/1711.08488v2 | mAP@0.25 | 54.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | Frustum VoxNets v2 | https://www.mdpi.com/1424-8220/21/4/1213/htm | mAP@0.25 | 45.0 |
16k > Object Detection > 3D Object Detection | SUN-RGBD | Frustum VoxNets v2 | https://www.mdpi.com/1424-8220/21/4/1213/htm | Inference Speed (s) | 0.21 |
16k > Object Detection > 3D Object Detection | S3DIS | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.5 | 60.8 |
16k > Object Detection > 3D Object Detection | S3DIS | UniDet3D | https://arxiv.org/abs/2409.04234v1 | mAP@0.25 | 75.2 |
16k > Object Detection > 3D Object Detection | S3DIS | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.5 | 56.7 |
16k > Object Detection > 3D Object Detection | S3DIS | Point-GCC+TR3D | https://arxiv.org/abs/2305.19623v2 | mAP@0.25 | 75.1 |
16k > Object Detection > 3D Object Detection | S3DIS | Swin3D-L+FCAF3D | https://arxiv.org/abs/2304.06906v3 | mAP@0.5 | 54.0 |
16k > Object Detection > 3D Object Detection | S3DIS | Swin3D-L+FCAF3D | https://arxiv.org/abs/2304.06906v3 | mAP@0.25 | 72.1 |
16k > Object Detection > 3D Object Detection | S3DIS | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.5 | 51.7 |
16k > Object Detection > 3D Object Detection | S3DIS | TR3D | https://arxiv.org/abs/2302.02858v3 | mAP@0.25 | 74.5 |
16k > Object Detection > 3D Object Detection | S3DIS | SPGroup3D | https://arxiv.org/abs/2312.13641v1 | mAP@0.5 | 47.2 |
16k > Object Detection > 3D Object Detection | S3DIS | SPGroup3D | https://arxiv.org/abs/2312.13641v1 | mAP@0.25 | 69.2 |
16k > Object Detection > 3D Object Detection | S3DIS | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.5 | 45.9 |
16k > Object Detection > 3D Object Detection | S3DIS | FCAF3D | https://arxiv.org/abs/2112.00322v2 | mAP@0.25 | 66.7 |
16k > Object Detection > 3D Object Detection | S3DIS | GSDN | https://arxiv.org/abs/2006.12356v1 | mAP@0.5 | 25.1 |
16k > Object Detection > 3D Object Detection | S3DIS | GSDN | https://arxiv.org/abs/2006.12356v1 | mAP@0.25 | 47.8 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Easy val | PVCNN | https://arxiv.org/abs/1907.03739v2 | AP | 73.2 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Easy val | F-PointNet++ [Qi:2018fd] | http://arxiv.org/abs/1711.08488v2 | AP | 70.00 |
16k > Object Detection > 3D Object Detection | KITTI Pedestrian Easy val | M3DeTR | https://arxiv.org/abs/2104.11896v3 | AP | 67.64 |
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