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 ⌀ |
|---|---|---|---|---|---|
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY | https://arxiv.org/abs/2104.10490v3 | IoU vehicle - Setting 3 | 58.5 |
Bird's-Eye View Semantic Segmentation | nuScenes | TBP-Former | https://arxiv.org/abs/2303.09998v2 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 18.6 |
Bird's-Eye View Semantic Segmentation | nuScenes | TBP-Former (static) | https://arxiv.org/abs/2303.09998v2 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 17.2 |
Bird's-Eye View Semantic Segmentation | nuScenes | Lift-Splat-Shoot | https://arxiv.org/abs/2008.05711v1 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 15.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | ST-P3 | https://arxiv.org/abs/2207.07601v2 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 14.5 |
Bird's-Eye View Semantic Segmentation | nuScenes | PETRv2 | https://arxiv.org/abs/2206.01256v3 | IoU lane - 224x480 - 100x100 at 0.5 | 44.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | MatrixVT | https://arxiv.org/abs/2211.10593v1 | IoU lane - 224x480 - 100x100 at 0.5 | 44.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | M^2BEV | null | IoU lane - 224x480 - 100x100 at 0.5 | 38.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | VED | http://arxiv.org/abs/1804.02176v3 | IoU veh - 224x480 - No vis filter - 100x50 at 0.25 | 8.8 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | PointBeV (EfficientNet-b4) | https://arxiv.org/abs/2312.00703v2 | IoU vehicle - 224x480 - Long | 45.4 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | PointBeV (EfficientNet-b4) | https://arxiv.org/abs/2312.00703v2 | IoU vehicle - 224x480 - Short | 72.6 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | PointBeV (ResNet-50) | https://arxiv.org/abs/2312.00703v2 | IoU vehicle - 224x480 - Long | 44.5 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | PointBeV (ResNet-50) | https://arxiv.org/abs/2312.00703v2 | IoU vehicle - 224x480 - Short | 72.3 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | Simple-BEV (EfficientNet-b4) | https://arxiv.org/abs/2206.07959v2 | IoU vehicle - 224x480 - Long | 44.5 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | Simple-BEV (EfficientNet-b4) | https://arxiv.org/abs/2206.07959v2 | IoU vehicle - 224x480 - Short | 70.4 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | BEVFormer (EfficientNet-b4) | https://arxiv.org/abs/2203.17270v2 | IoU vehicle - 224x480 - Long | 44.5 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | BEVFormer (EfficientNet-b4) | https://arxiv.org/abs/2203.17270v2 | IoU vehicle - 224x480 - Short | 69.9 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | Simple-BEV (ResNet-50) | https://arxiv.org/abs/2206.07959v2 | IoU vehicle - 224x480 - Long | 43.6 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | Simple-BEV (ResNet-50) | https://arxiv.org/abs/2206.07959v2 | IoU vehicle - 224x480 - Short | 70.7 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | BEVFormer(ResNet-50) | https://arxiv.org/abs/2203.17270v2 | IoU vehicle - 224x480 - Long | 43.2 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | BEVFormer(ResNet-50) | https://arxiv.org/abs/2203.17270v2 | IoU vehicle - 224x480 - Short | 68.8 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | FIERY | https://arxiv.org/abs/2104.10490v3 | IoU vehicle - 224x480 - Long | 36.7 |
Bird's-Eye View Semantic Segmentation | Lyft Level 5 | FIERY | https://arxiv.org/abs/2104.10490v3 | IoU vehicle - 224x480 - Short | 59.4 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | mIoU | 0.5 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | road | 0.884 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | car | 0.727 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | truck | 0.745 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | bus | 0.808 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | motorcycle | 0.363 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | bicycle | 0.036 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | rider | 0.233 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion | https://arxiv.org/abs/2502.01894v2 | pedestrian | 0.202 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | mIoU | 0.497 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | road | 0.928 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | car | 0.738 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | truck | 0.677 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | bus | 0.517 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | motorcycle | 0.365 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | bicycle | 0.114 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | rider | 0.362 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR | https://arxiv.org/abs/2502.01894v2 | pedestrian | 0.275 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | mIoU | 0.483 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | road | 0.877 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | car | 0.706 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | truck | 0.735 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | bus | 0.815 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | motorcycle | 0.325 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | bicycle | 0.036 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | rider | 0.184 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-L | https://arxiv.org/abs/2502.01894v2 | pedestrian | 0.189 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | mIoU | 0.476 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | road | 0.933 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | car | 0.728 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | truck | 0.694 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | bus | 0.585 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | motorcycle | 0.359 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | bicycle | 0.063 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | rider | 0.316 |
Bird's-Eye View Semantic Segmentation | SimBEV | UniTR+LSS | https://arxiv.org/abs/2502.01894v2 | pedestrian | 0.129 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | mIoU | 0.152 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | road | 0.76 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | car | 0.172 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | truck | 0.051 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | bus | 0.229 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | motorcycle | 0 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | bicycle | 0 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | rider | 0 |
Bird's-Eye View Semantic Segmentation | SimBEV | BEVFusion-C | https://arxiv.org/abs/2502.01894v2 | pedestrian | 0 |
Visual Object Tracking | VOT2017 | GFS-DCF | https://arxiv.org/abs/1907.13242v2 | Expected Average Overlap (EAO) | 0.397 |
Visual Object Tracking | VOT2017 | SiamRPN+ | http://arxiv.org/abs/1901.01660v3 | Expected Average Overlap (EAO) | 0.30 |
Visual Object Tracking | VOT2017 | SiamVGG | https://arxiv.org/abs/1902.02804v4 | Expected Average Overlap (EAO) | 0.286 |
Visual Object Tracking | VOT2017 | SE-SiamFC | https://arxiv.org/abs/2007.09115v2 | Expected Average Overlap (EAO) | 0.27 |
Visual Object Tracking | VOT2017 | SiamFC-lu (Ours) | http://arxiv.org/abs/1806.07078v3 | Expected Average Overlap (EAO) | 0.263 |
Visual Object Tracking | VOT2017 | GradNet | https://arxiv.org/abs/1909.06800v1 | Expected Average Overlap (EAO) | 0.247 |
Visual Object Tracking | TNL2K | MCITrack-L384 | https://arxiv.org/abs/2412.11023v1 | AUC | 65.3 |
Visual Object Tracking | TNL2K | SPMTrack-G | https://arxiv.org/abs/2503.18338v1 | precision | 70.6 |
Visual Object Tracking | TNL2K | SPMTrack-G | https://arxiv.org/abs/2503.18338v1 | AUC | 64.7 |
Visual Object Tracking | TNL2K | SPMTrack-G | https://arxiv.org/abs/2503.18338v1 | Normalized Precision | 82.6 |
Visual Object Tracking | TNL2K | SPMTrack-L | https://arxiv.org/abs/2503.18338v1 | precision | 69.2 |
Visual Object Tracking | TNL2K | SPMTrack-L | https://arxiv.org/abs/2503.18338v1 | AUC | 63.7 |
Visual Object Tracking | TNL2K | SPMTrack-L | https://arxiv.org/abs/2503.18338v1 | Normalized Precision | 81.5 |
Visual Object Tracking | TNL2K | MCITrack-B224 | https://arxiv.org/abs/2412.11023v1 | AUC | 62.9 |
Visual Object Tracking | TNL2K | LoRAT-g-378 | https://arxiv.org/abs/2403.05231v2 | precision | 67.8 |
Visual Object Tracking | TNL2K | LoRAT-g-378 | https://arxiv.org/abs/2403.05231v2 | AUC | 62.7 |
Visual Object Tracking | TNL2K | LoRAT-L-378 | https://arxiv.org/abs/2403.05231v2 | precision | 67.0 |
Visual Object Tracking | TNL2K | LoRAT-L-378 | https://arxiv.org/abs/2403.05231v2 | AUC | 62.3 |
Visual Object Tracking | TNL2K | SPMTrack-B | https://arxiv.org/abs/2503.18338v1 | precision | 66.7 |
Visual Object Tracking | TNL2K | SPMTrack-B | https://arxiv.org/abs/2503.18338v1 | AUC | 62.0 |
Visual Object Tracking | TNL2K | SPMTrack-B | https://arxiv.org/abs/2503.18338v1 | Normalized Precision | 79.7 |
Visual Object Tracking | TNL2K | ODTrack-L | https://arxiv.org/abs/2401.01686v1 | AUC | 61.7 |
Visual Object Tracking | TNL2K | ARTrackV2-L | https://arxiv.org/abs/2312.17133v3 | AUC | 61.6 |
Visual Object Tracking | TNL2K | ODTrack-B | https://arxiv.org/abs/2401.01686v1 | AUC | 60.9 |
Visual Object Tracking | TNL2K | RTracker-L | https://arxiv.org/abs/2403.19242v1 | precision | 63.7 |
Visual Object Tracking | TNL2K | RTracker-L | https://arxiv.org/abs/2403.19242v1 | AUC | 60.6 |
Visual Object Tracking | TNL2K | ARTrack-L | http://openaccess.thecvf.com//content/CVPR2023/html/Wei_Autoregressive_Visual_Tracking_CVPR_2023_paper.html | AUC | 60.3 |
Visual Object Tracking | TNL2K | SeqTrack-L384 | https://arxiv.org/abs/2304.14394v3 | AUC | 57.8 |
Visual Object Tracking | TNL2K | MixFormerV2-B | null | precision | 58.4 |
Visual Object Tracking | TNL2K | MixFormerV2-B | null | AUC | 57.4 |
Visual Object Tracking | TNL2K | DropTrack | https://arxiv.org/abs/2304.00571v2 | precision | 57.9 |
Visual Object Tracking | TNL2K | DropTrack | https://arxiv.org/abs/2304.00571v2 | AUC | 56.9 |
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