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 ⌀ |
|---|---|---|---|---|---|
Event-based Object Segmentation | MVSEC-SEG | DTL | https://arxiv.org/abs/2109.01801v3 | mIoU | 0.33 |
Event-based Object Segmentation | MVSEC-SEG | ESS | https://arxiv.org/abs/2203.10016v2 | mIoU | 0.32 |
Event-based Object Segmentation | MVSEC-SEG | NGA | https://arxiv.org/abs/2003.10959v3 | mIoU | 0.32 |
Event-based Object Segmentation | MVSEC-SEG | Evdistill | https://arxiv.org/abs/2111.12341v1 | mIoU | 0.29 |
Event-based Object Segmentation | MVSEC-SEG | SAM | https://arxiv.org/abs/2304.02643v1 | mIoU | 0.26 |
Event-based Object Segmentation | DDD17-SEG | EventSAM | https://arxiv.org/abs/2312.16222v1 | mIoU | 0.37 |
Event-based Object Segmentation | DDD17-SEG | ETNet | http://openaccess.thecvf.com//content/ICCV2021/html/Weng_Event-Based_Video_Reconstruction_Using_Transformer_ICCV_2021_paper.html | mIoU | 0.34 |
Event-based Object Segmentation | RGBE-SEG | EventSAM | https://arxiv.org/abs/2312.16222v1 | mIoU | 0.41 |
Event-based Object Segmentation | RGBE-SEG | ETNet | http://openaccess.thecvf.com//content/ICCV2021/html/Weng_Event-Based_Video_Reconstruction_Using_Transformer_ICCV_2021_paper.html | mIoU | 0.35 |
Event-based Object Segmentation | RGBE-SEG | E2VID | https://arxiv.org/abs/1906.07165v1 | mIoU | 0.32 |
Event-based Object Segmentation | RGBE-SEG | NGA | https://arxiv.org/abs/2003.10959v3 | mIoU | 0.30 |
Event-based Object Segmentation | RGBE-SEG | DTL | https://arxiv.org/abs/2109.01801v3 | mIoU | 0.29 |
Event-based Object Segmentation | RGBE-SEG | ESS | https://arxiv.org/abs/2203.10016v2 | mIoU | 0.28 |
Event-based Object Segmentation | RGBE-SEG | Evdistill | https://arxiv.org/abs/2111.12341v1 | mIoU | 0.27 |
Event-based Object Segmentation | RGBE-SEG | SAM | https://arxiv.org/abs/2304.02643v1 | mIoU | 0.26 |
Event-based Object Segmentation | DSEC-SEG | EventSAM | https://arxiv.org/abs/2312.16222v1 | mIoU | 0.38 |
Event-based Object Segmentation | DSEC-SEG | ETNet | http://openaccess.thecvf.com//content/ICCV2021/html/Weng_Event-Based_Video_Reconstruction_Using_Transformer_ICCV_2021_paper.html | mIoU | 0.36 |
Supervised Image Retrieval | CIFAR-10 | SSB-VAE | https://arxiv.org/abs/2007.08799v1 | Precision@100 | 0.910 |
Supervised Image Retrieval | CIFAR-10 | PSH | https://arxiv.org/abs/2007.08799v1 | Precision@100 | 0.906 |
Supervised Image Retrieval | CIFAR-10 | VDSH | https://arxiv.org/abs/2007.08799v1 | Precision@100 | 0.867 |
Hierarchical Text Segmentation | HierText | Hi-SAM | https://arxiv.org/abs/2401.17904v2 | F-score (average) | 81.87 |
Hierarchical Text Segmentation | HierText | Hi-SAM | https://arxiv.org/abs/2401.17904v2 | F-score (stroke) | 83.36 |
Hierarchical Text Segmentation | HierText | Hi-SAM | https://arxiv.org/abs/2401.17904v2 | F-score (word) | 82.86 |
Hierarchical Text Segmentation | HierText | Hi-SAM | https://arxiv.org/abs/2401.17904v2 | F-score (text-line) | 85.30 |
Hierarchical Text Segmentation | HierText | Hi-SAM | https://arxiv.org/abs/2401.17904v2 | F-score (para., layout) | 75.97 |
Visual Prompt Tuning | FGVC | SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 86.00 |
Visual Prompt Tuning | FGVC | SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 84.08 |
Visual Prompt Tuning | FGVC | SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 83.26 |
Visual Prompt Tuning | FGVC | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 83.12 |
Visual Prompt Tuning | FGVC | GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 83.00 |
Visual Prompt Tuning | FGVC | VPT-Shallow (ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 79.26 |
Visual Prompt Tuning | FGVC | SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 73.95 |
Visual Prompt Tuning | FGVC | GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 73.39 |
Visual Prompt Tuning | FGVC | VPT-Deep (ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 72.02 |
Visual Prompt Tuning | FGVC | VPT-Shallow (ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 57.84 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 59.23 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 58.36 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 55.16 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 53.46 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 49.10 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 42.38 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 37.55 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 36.80 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 27.50 |
Visual Prompt Tuning | VTAB-1k(Structured<8>) | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 26.57 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 76.20 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 74.84 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 74.47 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 70.27 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 67.34 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 67.19 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 62.53 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 47.61 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 39.96 |
Visual Prompt Tuning | VTAB-1k(Natural<7>) | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 36.02 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | SPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 84.95 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | SPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 83.93 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | GateVPT(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 83.38 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | SPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 83.15 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | VPT-Deep(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 83.04 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | VPT-Shallow(ViT-B/16_MoCo_v3_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 82.26 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | SPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2402.02382v3 | Mean Accuracy | 80.90 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | GateVPT(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2306.05067v1 | Mean Accuracy | 76.86 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | VPT-Shallow(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 69.65 |
Visual Prompt Tuning | VTAB-1k(Specialized<4>) | VPT-Deep(ViT-B/16_MAE_pretrained_ImageNet-1K) | https://arxiv.org/abs/2203.12119v2 | Mean Accuracy | 60.61 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV | https://arxiv.org/abs/2312.00703v2 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 39.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV | https://arxiv.org/abs/2312.00703v2 | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 43.2 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV | https://arxiv.org/abs/2312.00703v2 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 44.7 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV | https://arxiv.org/abs/2312.00703v2 | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 48.7 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV | https://arxiv.org/abs/2312.00703v2 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 19.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 38.7 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 42.1 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 44.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 47.6 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 18.5 |
Bird's-Eye View Semantic Segmentation | nuScenes | PointBeV (static) | https://arxiv.org/abs/2312.00703v2 | IoU lane - 224x480 - 100x100 at 0.5 | 49.6 |
Bird's-Eye View Semantic Segmentation | nuScenes | Simple-BEV | https://arxiv.org/abs/2206.07959v2 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 36.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | Simple-BEV | https://arxiv.org/abs/2206.07959v2 | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 40.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | Simple-BEV | https://arxiv.org/abs/2206.07959v2 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 43.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | Simple-BEV | https://arxiv.org/abs/2206.07959v2 | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 46.6 |
Bird's-Eye View Semantic Segmentation | nuScenes | BEVFormer | https://arxiv.org/abs/2203.17270v2 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 35.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | BEVFormer | https://arxiv.org/abs/2203.17270v2 | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 39.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | BEVFormer | https://arxiv.org/abs/2203.17270v2 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 42.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | BEVFormer | https://arxiv.org/abs/2203.17270v2 | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 45.5 |
Bird's-Eye View Semantic Segmentation | nuScenes | BEVFormer | https://arxiv.org/abs/2203.17270v2 | IoU lane - 224x480 - 100x100 at 0.5 | 25.7 |
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY (static) | https://arxiv.org/abs/2104.10490v3 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 35.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY (static) | https://arxiv.org/abs/2104.10490v3 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 39.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY (static) | https://arxiv.org/abs/2104.10490v3 | IoU ped - 224x480 - Vis filter. - 100x100 at 0.5 | 17.2 |
Bird's-Eye View Semantic Segmentation | nuScenes | BAEFormer | http://openaccess.thecvf.com//content/CVPR2023/html/Pan_BAEFormer_Bi-Directional_and_Early_Interaction_Transformers_for_Birds_Eye_View_CVPR_2023_paper.html | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 36 |
Bird's-Eye View Semantic Segmentation | nuScenes | BAEFormer | http://openaccess.thecvf.com//content/CVPR2023/html/Pan_BAEFormer_Bi-Directional_and_Early_Interaction_Transformers_for_Birds_Eye_View_CVPR_2023_paper.html | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 37.8 |
Bird's-Eye View Semantic Segmentation | nuScenes | BAEFormer | http://openaccess.thecvf.com//content/CVPR2023/html/Pan_BAEFormer_Bi-Directional_and_Early_Interaction_Transformers_for_Birds_Eye_View_CVPR_2023_paper.html | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 38.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | BAEFormer | http://openaccess.thecvf.com//content/CVPR2023/html/Pan_BAEFormer_Bi-Directional_and_Early_Interaction_Transformers_for_Birds_Eye_View_CVPR_2023_paper.html | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 41.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | LaRa | https://arxiv.org/abs/2206.13294v2 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 35.4 |
Bird's-Eye View Semantic Segmentation | nuScenes | LaRa | https://arxiv.org/abs/2206.13294v2 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 38.9 |
Bird's-Eye View Semantic Segmentation | nuScenes | CVT | https://arxiv.org/abs/2205.02833v1 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 31.4 |
Bird's-Eye View Semantic Segmentation | nuScenes | CVT | https://arxiv.org/abs/2205.02833v1 | IoU veh - 448x800 - No vis filter - 100x100 at 0.5 | 32.5 |
Bird's-Eye View Semantic Segmentation | nuScenes | CVT | https://arxiv.org/abs/2205.02833v1 | IoU veh - 224x480 - Vis filter. - 100x100 at 0.5 | 36.0 |
Bird's-Eye View Semantic Segmentation | nuScenes | CVT | https://arxiv.org/abs/2205.02833v1 | IoU veh - 448x800 - Vis filter. - 100x100 at 0.5 | 37.7 |
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY | https://arxiv.org/abs/2104.10490v3 | IoU veh - 224x480 - No vis filter - 100x50 at 0.25 | 41.1 |
Bird's-Eye View Semantic Segmentation | nuScenes | FIERY | https://arxiv.org/abs/2104.10490v3 | IoU veh - 224x480 - No vis filter - 100x100 at 0.5 | 38.2 |
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