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 ⌀ |
|---|---|---|---|---|---|
10-shot image generation > Semantic Segmentation | ADE20K | HamNet (ResNet-101) | https://arxiv.org/abs/2109.04553v2 | Validation mIoU | 46.8 |
10-shot image generation > Semantic Segmentation | ADE20K | Sequential Ensemble (DeepLabv3+) | https://arxiv.org/abs/2210.05387v1 | Validation mIoU | 46.8 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvNeXt-T | https://arxiv.org/abs/2201.03545v2 | Validation mIoU | 46.7 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvNeXt-T | https://arxiv.org/abs/2201.03545v2 | Params (M) | 60 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvNeXt-T | https://arxiv.org/abs/2201.03545v2 | GFLOPs (512 x 512) | 939 |
10-shot image generation > Semantic Segmentation | ADE20K | VAN-Base (Semantic-FPN) | https://arxiv.org/abs/2202.09741v5 | Validation mIoU | 46.7 |
10-shot image generation > Semantic Segmentation | ADE20K | XCiT-S12/8 (UperNet) | https://arxiv.org/abs/2106.09681v2 | Validation mIoU | 46.6 |
10-shot image generation > Semantic Segmentation | ADE20K | GC ViT-T | https://arxiv.org/abs/2206.09959v5 | Validation mIoU | 46.5 |
10-shot image generation > Semantic Segmentation | ADE20K | GC ViT-T | https://arxiv.org/abs/2206.09959v5 | Params (M) | 58 |
10-shot image generation > Semantic Segmentation | ADE20K | GC ViT-T | https://arxiv.org/abs/2206.09959v5 | GFLOPs (512 x 512) | 947 |
10-shot image generation > Semantic Segmentation | ADE20K | NAT-Mini | https://arxiv.org/abs/2204.07143v5 | Validation mIoU | 46.4 |
10-shot image generation > Semantic Segmentation | ADE20K | NAT-Mini | https://arxiv.org/abs/2204.07143v5 | Params (M) | 50 |
10-shot image generation > Semantic Segmentation | ADE20K | NAT-Mini | https://arxiv.org/abs/2204.07143v5 | GFLOPs (512 x 512) | 900 |
10-shot image generation > Semantic Segmentation | ADE20K | Shift-T | https://arxiv.org/abs/2201.10801v1 | Validation mIoU | 46.3 |
10-shot image generation > Semantic Segmentation | ADE20K | DaViT-T | https://arxiv.org/abs/2204.03645v1 | Validation mIoU | 46.3 |
10-shot image generation > Semantic Segmentation | ADE20K | CPN(ResNet-101) | https://arxiv.org/abs/2004.01547v1 | Validation mIoU | 46.27 |
10-shot image generation > Semantic Segmentation | ADE20K | MultiMAE (ViT-B) | https://arxiv.org/abs/2204.01678v1 | Validation mIoU | 46.2 |
10-shot image generation > Semantic Segmentation | ADE20K | DRAN(ResNet-101) | https://ieeexplore.ieee.org/document/9154612 | Validation mIoU | 46.18 |
10-shot image generation > Semantic Segmentation | ADE20K | PyConvSegNet-152 | https://arxiv.org/abs/2006.11538v1 | Validation mIoU | 45.99 |
10-shot image generation > Semantic Segmentation | ADE20K | PyConvSegNet-152 | https://arxiv.org/abs/2006.11538v1 | Test Score | 56.52 |
10-shot image generation > Semantic Segmentation | ADE20K | DNL | https://arxiv.org/abs/2006.06668v2 | Validation mIoU | 45.97 |
10-shot image generation > Semantic Segmentation | ADE20K | ACNet (ResNet-101) | https://arxiv.org/abs/1911.01664v1 | Validation mIoU | 45.90 |
10-shot image generation > Semantic Segmentation | ADE20K | ACNet
(ResNet-101) | https://arxiv.org/abs/1911.01664v1 | Validation mIoU | 45.90 |
10-shot image generation > Semantic Segmentation | ADE20K | HRViT-b1 (SegFormer, SS) | https://arxiv.org/abs/2111.01236v2 | Validation mIoU | 45.88 |
10-shot image generation > Semantic Segmentation | ADE20K | HRViT-b1 (SegFormer, SS) | https://arxiv.org/abs/2111.01236v2 | Params (M) | 8.2 |
10-shot image generation > Semantic Segmentation | ADE20K | HRViT-b1 (SegFormer, SS) | https://arxiv.org/abs/2111.01236v2 | GFLOPs (512 x 512) | 14.6 |
10-shot image generation > Semantic Segmentation | ADE20K | OCR(HRNetV2-W48) | https://arxiv.org/abs/1909.11065v6 | Validation mIoU | 45.66 |
10-shot image generation > Semantic Segmentation | ADE20K | SPNet (ResNet-101) | https://arxiv.org/abs/2003.13328v1 | Validation mIoU | 45.6 |
10-shot image generation > Semantic Segmentation | ADE20K | Swin-T (UPerNet) MoBY | https://arxiv.org/abs/2105.04553v2 | Validation mIoU | 45.58 |
10-shot image generation > Semantic Segmentation | ADE20K | DAT-T (UperNet) | https://arxiv.org/abs/2201.00520v3 | Validation mIoU | 45.54 |
10-shot image generation > Semantic Segmentation | ADE20K | DAT-T (UperNet) | https://arxiv.org/abs/2201.00520v3 | Params (M) | 60 |
10-shot image generation > Semantic Segmentation | ADE20K | iBOT (ViT-S/16) | https://arxiv.org/abs/2111.07832v3 | Validation mIoU | 45.4 |
10-shot image generation > Semantic Segmentation | ADE20K | EANet
(ResNet-101) | https://arxiv.org/abs/2105.02358v2 | Validation mIoU | 45.33 |
10-shot image generation > Semantic Segmentation | ADE20K | OCR (ResNet-101) | https://arxiv.org/abs/1909.11065v6 | Validation mIoU | 45.28 |
10-shot image generation > Semantic Segmentation | ADE20K | Asymmetric ALNN | https://arxiv.org/abs/1908.07678v5 | Validation mIoU | 45.24 |
10-shot image generation > Semantic Segmentation | ADE20K | Light-Ham (VAN-Small, D=256) | https://arxiv.org/abs/2109.04553v2 | Validation mIoU | 45.2 |
10-shot image generation > Semantic Segmentation | ADE20K | Light-Ham (VAN-Small, D=256) | https://arxiv.org/abs/2109.04553v2 | Params (M) | 13.8 |
10-shot image generation > Semantic Segmentation | ADE20K | Light-Ham (VAN-Small, D=256) | https://arxiv.org/abs/2109.04553v2 | GFLOPs (512 x 512) | 15.8 |
10-shot image generation > Semantic Segmentation | ADE20K | LaU-regression-loss | https://arxiv.org/abs/1911.05250v2 | Validation mIoU | 45.02 |
10-shot image generation > Semantic Segmentation | ADE20K | LaU-regression-loss | https://arxiv.org/abs/1911.05250v2 | Test Score | 56.32 |
10-shot image generation > Semantic Segmentation | ADE20K | PSPNet | http://arxiv.org/abs/1612.01105v2 | Validation mIoU | 44.94 |
10-shot image generation > Semantic Segmentation | ADE20K | PSPNet | http://arxiv.org/abs/1612.01105v2 | Test Score | 55.38 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-2 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Validation mIoU | 44.9 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-2 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Params (M) | 13 |
10-shot image generation > Semantic Segmentation | ADE20K | CFNet(ResNet-101) | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Co-Occurrent_Features_in_Semantic_Segmentation_CVPR_2019_paper.html | Validation mIoU | 44.89 |
10-shot image generation > Semantic Segmentation | ADE20K | EncNet | http://arxiv.org/abs/1803.08904v1 | Validation mIoU | 44.65 |
10-shot image generation > Semantic Segmentation | ADE20K | EncNet | http://arxiv.org/abs/1803.08904v1 | Test Score | 55.67 |
10-shot image generation > Semantic Segmentation | ADE20K | LaU-offset-loss | https://arxiv.org/abs/1911.05250v2 | Validation mIoU | 44.55 |
10-shot image generation > Semantic Segmentation | ADE20K | LaU-offset-loss | https://arxiv.org/abs/1911.05250v2 | Test Score | 56.41 |
10-shot image generation > Semantic Segmentation | ADE20K | EncNet + JPU | http://arxiv.org/abs/1903.11816v1 | Validation mIoU | 44.34 |
10-shot image generation > Semantic Segmentation | ADE20K | EncNet + JPU | http://arxiv.org/abs/1903.11816v1 | Test Score | 55.84 |
10-shot image generation > Semantic Segmentation | ADE20K | SGR (ResNet-101) | http://papers.nips.cc/paper/7456-symbolic-graph-reasoning-meets-convolutions | Validation mIoU | 44.32 |
10-shot image generation > Semantic Segmentation | ADE20K | XCiT-S12/8 (Semantic-FPN) | https://arxiv.org/abs/2106.09681v2 | Validation mIoU | 44.2 |
10-shot image generation > Semantic Segmentation | ADE20K | Auto-DeepLab-L | http://arxiv.org/abs/1901.02985v2 | Validation mIoU | 43.98 |
10-shot image generation > Semantic Segmentation | ADE20K | PSANet (ResNet-101) | http://openaccess.thecvf.com/content_ECCV_2018/html/Hengshuang_Zhao_PSANet_Point-wise_Spatial_ECCV_2018_paper.html | Validation mIoU | 43.77 |
10-shot image generation > Semantic Segmentation | ADE20K | DSSPN (ResNet-101) | http://arxiv.org/abs/1803.06067v1 | Validation mIoU | 43.68 |
10-shot image generation > Semantic Segmentation | ADE20K | PSPNet (ResNet-152) | http://arxiv.org/abs/1612.01105v2 | Validation mIoU | 43.51 |
10-shot image generation > Semantic Segmentation | ADE20K | PSPNet
(ResNet-101) | http://arxiv.org/abs/1612.01105v2 | Validation mIoU | 43.29 |
10-shot image generation > Semantic Segmentation | ADE20K | HRNetV2 | http://arxiv.org/abs/1904.04514v1 | Validation mIoU | 43.2 |
10-shot image generation > Semantic Segmentation | ADE20K | SeMask (SeMask Swin-T FPN) | https://arxiv.org/abs/2112.12782v3 | Validation mIoU | 43.16 |
10-shot image generation > Semantic Segmentation | ADE20K | SeMask (SeMask Swin-T FPN) | https://arxiv.org/abs/2112.12782v3 | Params (M) | 35 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-1 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Validation mIoU | 43.1 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-1 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Params (M) | 8 |
10-shot image generation > Semantic Segmentation | ADE20K | VAN-Small | https://arxiv.org/abs/2202.09741v5 | Validation mIoU | 42.9 |
10-shot image generation > Semantic Segmentation | ADE20K | VAN-Small | https://arxiv.org/abs/2202.09741v5 | Params (M) | 18 |
10-shot image generation > Semantic Segmentation | ADE20K | PoolFormer-M48 | https://arxiv.org/abs/2111.11418v3 | Validation mIoU | 42.7 |
10-shot image generation > Semantic Segmentation | ADE20K | UperNet (ResNet-101) | http://arxiv.org/abs/1807.10221v1 | Validation mIoU | 42.66 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-0 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Validation mIoU | 41.2 |
10-shot image generation > Semantic Segmentation | ADE20K | tiny-MOAT-0 (IN-1K pretraining, single scale) | https://arxiv.org/abs/2210.01820v2 | Params (M) | 6 |
10-shot image generation > Semantic Segmentation | ADE20K | RefineNet | http://arxiv.org/abs/1611.06612v3 | Validation mIoU | 40.7 |
10-shot image generation > Semantic Segmentation | ADE20K | FBNetV5 | https://arxiv.org/abs/2111.10007v3 | Validation mIoU | 40.4 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvMLP-L | https://arxiv.org/abs/2109.04454v2 | Validation mIoU | 40 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvMLP-M | https://arxiv.org/abs/2109.04454v2 | Validation mIoU | 38.6 |
10-shot image generation > Semantic Segmentation | ADE20K | VAN-Tiny | https://arxiv.org/abs/2202.09741v5 | Validation mIoU | 38.5 |
10-shot image generation > Semantic Segmentation | ADE20K | VAN-Tiny | https://arxiv.org/abs/2202.09741v5 | Params (M) | 8 |
10-shot image generation > Semantic Segmentation | ADE20K | A2MIM (ResNet-50) | https://arxiv.org/abs/2205.13943v4 | Validation mIoU | 38.3 |
10-shot image generation > Semantic Segmentation | ADE20K | iBOT (ViT-B/16) (linear head) | https://arxiv.org/abs/2111.07832v3 | Validation mIoU | 38.3 |
10-shot image generation > Semantic Segmentation | ADE20K | SegFormer-B0 | https://arxiv.org/abs/2105.15203v3 | Validation mIoU | 37.4 |
10-shot image generation > Semantic Segmentation | ADE20K | SegFormer-B0 | https://arxiv.org/abs/2105.15203v3 | Params (M) | 3.8 |
10-shot image generation > Semantic Segmentation | ADE20K | MUXNet-m + PPM | https://arxiv.org/abs/2003.13880v2 | Validation mIoU | 35.8 |
10-shot image generation > Semantic Segmentation | ADE20K | ConvMLP-S | https://arxiv.org/abs/2109.04454v2 | Validation mIoU | 35.8 |
10-shot image generation > Semantic Segmentation | ADE20K | MUXNet-m + C1 | https://arxiv.org/abs/2003.13880v2 | Validation mIoU | 32.42 |
10-shot image generation > Semantic Segmentation | ADE20K | DilatedNet | http://arxiv.org/abs/1511.07122v3 | Validation mIoU | 32.31 |
10-shot image generation > Semantic Segmentation | ADE20K | FCN | http://arxiv.org/abs/1411.4038v2 | Validation mIoU | 29.39 |
10-shot image generation > Semantic Segmentation | ADE20K | SegNet | http://arxiv.org/abs/1511.00561v3 | Validation mIoU | 21.64 |
10-shot image generation > Semantic Segmentation | ADE20K | InternImage-H (M3I Pre-training) | https://arxiv.org/abs/2211.05778v4 | Params (M) | 1310 |
10-shot image generation > Semantic Segmentation | ADE20K | FastViT-MA36 | https://arxiv.org/abs/2303.14189v2 | Mean IoU (class) | 44.6 |
10-shot image generation > Semantic Segmentation | ADE20K | FastViT-SA36 | https://arxiv.org/abs/2303.14189v2 | Mean IoU (class) | 42.9 |
10-shot image generation > Semantic Segmentation | ADE20K | FastViT-SA24 | https://arxiv.org/abs/2303.14189v2 | Mean IoU (class) | 41 |
10-shot image generation > Semantic Segmentation | ADE20K | FastViT-SA12 | https://arxiv.org/abs/2303.14189v2 | Mean IoU (class) | 38 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | LiTS17 | label-free | https://arxiv.org/abs/2303.14869v1 | Dice | 59.77 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | LiTS17 | label-free | https://arxiv.org/abs/2303.14869v1 | NSD | 61.29 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | U-Mamba | https://arxiv.org/abs/2401.04722v1 | ChallengeScore | 0.735 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | U-Mamba | https://arxiv.org/abs/2401.04722v1 | Average Dice | 0.708 ± 0.235 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | U-Mamba | https://arxiv.org/abs/2401.04722v1 | Long-Axis SMAPE | 0.103 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | U-Mamba | https://arxiv.org/abs/2401.04722v1 | Short-Axis SMAPE | 0.118 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | Baseline Model (Semi-Supervised) | https://arxiv.org/abs/2406.05231v2 | ChallengeScore | 0.729 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | Baseline Model (Semi-Supervised) | https://arxiv.org/abs/2406.05231v2 | Average Dice | 0.703 ± 0.240 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | Baseline Model (Semi-Supervised) | https://arxiv.org/abs/2406.05231v2 | Long-Axis SMAPE | 0.112 |
10-shot image generation > Semantic Segmentation > Tumor Segmentation | The ULS23 Challenge Test Set | Baseline Model (Semi-Supervised) | https://arxiv.org/abs/2406.05231v2 | Short-Axis SMAPE | 0.120 |
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