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 | PASCAL VOC 2012 val | FastDenseNas-arch0 | https://arxiv.org/abs/1810.10804v3 | mIoU | 78.0% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | ReLICv2 | https://arxiv.org/abs/2201.05119v2 | mIoU | 77.9% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | DeepLab-CRF (ResNet-101) | http://arxiv.org/abs/1606.00915v2 | mIoU | 77.69% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | FastDenseNas-arch2 | https://arxiv.org/abs/1810.10804v3 | mIoU | 77.3% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | DetCon | https://arxiv.org/abs/2201.05119v2 | mIoU | 77.3% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | FastDenseNas-arch1 | https://arxiv.org/abs/1810.10804v3 | mIoU | 77.1% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | DeepLabv3 (ImageNet+300M) | http://arxiv.org/abs/1707.02968v2 | mIoU | 76.5% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | BYOL | https://arxiv.org/abs/2201.05119v2 | mIoU | 75.7% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | DiCENet | https://arxiv.org/abs/1906.03516v3 | mIoU | 66.5% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | RRM | https://arxiv.org/abs/1911.08039v1 | mIoU | 66.3 |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | SIW | https://arxiv.org/abs/2202.02002v2 | mIoU | 65% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | SSDD | https://arxiv.org/abs/1911.01370v2 | mIoU | 64.9 |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | PSA w/ EADER DeepLab (Xception-65) | https://arxiv.org/abs/2011.04626v1 | mIoU | 62.8% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | G2 | http://arxiv.org/abs/1701.08261v2 | mIoU | 55.7% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | PRM | http://arxiv.org/abs/1804.00880v1 | mIoU | 53.4% |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | SID | http://arxiv.org/abs/1603.07485v2 | Mean IoU | 71.6 |
10-shot image generation > Semantic Segmentation | PASCAL VOC 2012 val | DeepLabV3+ (ResNet-101) | http://arxiv.org/abs/1802.02611v3 | mIoU (Syn) | 75.39 |
10-shot image generation > Semantic Segmentation | DeLiVER | CAFuser-CAA | https://arxiv.org/abs/2410.10791v2 | mIoU | 68.6 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion(RGB-D-E-LiDAR) | https://arxiv.org/abs/2408.01343v1 | mIoU | 68.18 |
10-shot image generation > Semantic Segmentation | DeLiVER | GeminiFusion | https://arxiv.org/abs/2406.01210v2 | mIoU | 66.9 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion (RGB-D-LiDAR) | https://arxiv.org/abs/2408.01343v1 | mIoU | 66.65 |
10-shot image generation > Semantic Segmentation | DeLiVER | CMNeXt (RGB-D-E-LiDAR) | https://arxiv.org/abs/2303.01480v1 | mIoU | 66.30 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion (RGB-D-Event) | https://arxiv.org/abs/2408.01343v1 | mIoU | 66.03 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion (RGB-Depth) | https://arxiv.org/abs/2408.01343v1 | mIoU | 65.75 |
10-shot image generation > Semantic Segmentation | DeLiVER | MemorySAM-B+(R-D-E-L) | https://arxiv.org/abs/2503.06700v1 | mIoU | 65.38 |
10-shot image generation > Semantic Segmentation | DeLiVER | MemorySAM-B+(R-D) | https://arxiv.org/abs/2503.06700v1 | mIoU | 63.48 |
10-shot image generation > Semantic Segmentation | DeLiVER | CMX (RGB-Depth) | https://arxiv.org/abs/2203.04838v5 | mIoU | 62.67 |
10-shot image generation > Semantic Segmentation | DeLiVER | MemorySAM-B+(R-D-E) | https://arxiv.org/abs/2503.06700v1 | mIoU | 62.42 |
10-shot image generation > Semantic Segmentation | DeLiVER | TokenFusion (RGB-Depth) | https://arxiv.org/abs/2204.08721v2 | mIoU | 60.25 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion (RGB-LiDAR) | https://arxiv.org/abs/2408.01343v1 | mIoU | 58.03 |
10-shot image generation > Semantic Segmentation | DeLiVER | StitchFusion (RGB-Event) | https://arxiv.org/abs/2408.01343v1 | mIoU | 57.44 |
10-shot image generation > Semantic Segmentation | DeLiVER | CMX (RGB-Event) | https://arxiv.org/abs/2203.04838v5 | mIoU | 56.52 |
10-shot image generation > Semantic Segmentation | DeLiVER | CMX (RGB-LiDAR) | https://arxiv.org/abs/2203.04838v5 | mIoU | 56.37 |
10-shot image generation > Semantic Segmentation | DeLiVER | MemorySAM-B+(RGB) | https://arxiv.org/abs/2503.06700v1 | mIoU | 53.22 |
10-shot image generation > Semantic Segmentation | DeLiVER | TokenFusion (RGB-LiDAR) | https://arxiv.org/abs/2204.08721v2 | mIoU | 53.01 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-D-E-Li) | https://arxiv.org/abs/2206.15157v3 | mIoU | 52.97 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-D-LiDAR) | https://arxiv.org/abs/2206.15157v3 | mIoU | 52.72 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-Depth) | https://arxiv.org/abs/2206.15157v3 | mIoU | 51.88 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-D-Event) | https://arxiv.org/abs/2206.15157v3 | mIoU | 51.83 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB) | https://arxiv.org/abs/2206.15157v3 | mIoU | 47.95 |
10-shot image generation > Semantic Segmentation | DeLiVER | TokenFusion (RGB-Event) | https://arxiv.org/abs/2204.08721v2 | mIoU | 45.63 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-LiDAR) | https://arxiv.org/abs/2206.15157v3 | mIoU | 43.13 |
10-shot image generation > Semantic Segmentation | DeLiVER | HRFuser (RGB-Event) | https://arxiv.org/abs/2206.15157v3 | mIoU | 42.22 |
10-shot image generation > Semantic Segmentation | PASTIS | Exchanger+Mask2Former | https://arxiv.org/abs/2305.02086v2 | Mean IoU (test) | 67.9 |
10-shot image generation > Semantic Segmentation | PASTIS | Exchanger+Unet | https://arxiv.org/abs/2305.02086v2 | Mean IoU (test) | 66.8 |
10-shot image generation > Semantic Segmentation | PASTIS | U-TAE | https://arxiv.org/abs/2107.07933v4 | Number of Params | 1.1M |
10-shot image generation > Semantic Segmentation | PASTIS | U-TAE | https://arxiv.org/abs/2107.07933v4 | Overall Accuracy | 83.2 |
10-shot image generation > Semantic Segmentation | PASTIS | U-TAE | https://arxiv.org/abs/2107.07933v4 | Mean IoU (test) | 63.1 |
10-shot image generation > Semantic Segmentation | Pothole Mix | Baseline - DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .711 |
10-shot image generation > Semantic Segmentation | Pothole Mix | Baseline - DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .676 |
10-shot image generation > Semantic Segmentation | Pothole Mix | Baseline - DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .814 |
10-shot image generation > Semantic Segmentation | Pothole Mix | Baseline - DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .789 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-MAnet | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .705 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-MAnet | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .725 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-MAnet | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .810 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-MAnet | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .827 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .698 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .720 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .804 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .824 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet++ | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .694 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet++ | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .731 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet++ | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .800 |
10-shot image generation > Semantic Segmentation | Pothole Mix | PUCP-Unet++ | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .832 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-SegFormer | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .523 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-SegFormer | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .628 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-SegFormer | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .637 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-SegFormer | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .747 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .695 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .719 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .802 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-DeepLabv3+ | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .823 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-CPS-DLU-Net | https://arxiv.org/abs/2205.13326v5 | Validation mIoU | 0 .647 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-CPS-DLU-Net | https://arxiv.org/abs/2205.13326v5 | Test mIoU | 0 .677 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-CPS-DLU-Net | https://arxiv.org/abs/2205.13326v5 | Validation Dice Multiclass | 0 .763 |
10-shot image generation > Semantic Segmentation | Pothole Mix | HCMUS-CPS-DLU-Net | https://arxiv.org/abs/2205.13326v5 | Test Dice Multiclass | 0 .789 |
10-shot image generation > Semantic Segmentation | EventScape | CMX (B4) | https://arxiv.org/abs/2203.04838v5 | mIoU | 64.28 |
10-shot image generation > Semantic Segmentation | EventScape | CMX (B2) | https://arxiv.org/abs/2203.04838v5 | mIoU | 61.90 |
10-shot image generation > Semantic Segmentation | EventScape | SegFormer-B4 | https://arxiv.org/abs/2105.15203v3 | mIoU | 59.86 |
10-shot image generation > Semantic Segmentation | EventScape | SegFormer-B2 | https://arxiv.org/abs/2105.15203v3 | mIoU | 58.69 |
10-shot image generation > Semantic Segmentation | EventScape | SA-Gate | https://arxiv.org/abs/2007.09183v1 | mIoU | 53.94 |
10-shot image generation > Semantic Segmentation | EventScape | DeepLabV3+ | http://arxiv.org/abs/1802.02611v3 | mIoU | 53.65 |
10-shot image generation > Semantic Segmentation | EventScape | Trans4Trans | https://arxiv.org/abs/2107.03172v2 | mIoU | 51.86 |
10-shot image generation > Semantic Segmentation | EventScape | CGNet | http://arxiv.org/abs/1811.08201v2 | mIoU | 44.75 |
10-shot image generation > Semantic Segmentation | EventScape | Fast-SCNN | http://arxiv.org/abs/1902.04502v1 | mIoU | 44.27 |
10-shot image generation > Semantic Segmentation | EventScape | ISSAFE | https://arxiv.org/abs/2008.08974v2 | mIoU | 43.61 |
10-shot image generation > Semantic Segmentation | EventScape | RFNet | https://arxiv.org/abs/2002.10570v2 | mIoU | 41.34 |
10-shot image generation > Semantic Segmentation | EventScape | SwiftNet | http://arxiv.org/abs/1903.08469v2 | mIoU | 36.67 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-S | https://arxiv.org/abs/2403.11735v5 | Overall Accuracy | 93.6 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-S | https://arxiv.org/abs/2403.11735v5 | Average F1 | 91.8 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-S | https://arxiv.org/abs/2403.11735v5 | Category mIoU | 85.1 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-T | https://arxiv.org/abs/2403.11735v5 | Overall Accuracy | 93.6 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-T | https://arxiv.org/abs/2403.11735v5 | Average F1 | 91.7 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | LSKNet-T | https://arxiv.org/abs/2403.11735v5 | Category mIoU | 84.9 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | EfficientUNets and Transformers | https://arxiv.org/abs/2206.09731v2 | Overall Accuracy | 91.8 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | EfficientUNets and Transformers | https://arxiv.org/abs/2206.09731v2 | Average F1 | 93.7 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | FT-UNetFormer | https://arxiv.org/abs/2109.08937v4 | Overall Accuracy | 91.6 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | FT-UNetFormer | https://arxiv.org/abs/2109.08937v4 | Average F1 | 91.3 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | FT-UNetFormer | https://arxiv.org/abs/2109.08937v4 | Category mIoU | 84.1 |
10-shot image generation > Semantic Segmentation | ISPRS Vaihingen | DC-Swin | https://arxiv.org/abs/2104.12137v6 | Overall Accuracy | 91.6 |
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