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 > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | mIoU | 26.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 20.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Object | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 15.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC 2007 | CLIPpy ViT-B | https://arxiv.org/abs/2210.09996v3 | Mean IoU (val) | 52.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | Mean IoU (val) | 30.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | TextRegion | https://arxiv.org/abs/2505.23769v1 | Mean IoU (val) | 27.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | Trident | https://arxiv.org/abs/2411.09219v1 | Mean IoU (val) | 26.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | Mean IoU (val) | 24.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | Mean IoU (val) | 17.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | TagAlign | https://arxiv.org/abs/2312.14149v4 | Mean IoU (val) | 17.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | TCL | https://arxiv.org/abs/2212.00785v2 | Mean IoU (val) | 17.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | Mean IoU (val) | 17.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | CLIPpy ViT-B | https://arxiv.org/abs/2210.09996v3 | Mean IoU (val) | 13.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | Mean IoU (val) | 12.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | ReCo | https://arxiv.org/abs/2206.07045v1 | Mean IoU (val) | 11.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | Mean IoU (val) | 9.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | ADE20K | GroupViT (RedCaps) | https://arxiv.org/abs/2202.11094v5 | Mean IoU (val) | 9.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 51.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 47.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 42.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | mIoU | 34.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | mIoU | 32.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 27.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | mIoU | 27.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | ReCo+ | https://arxiv.org/abs/2206.07045v1 | mIoU | 24.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | ReCo+ | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 83.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 24.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 19.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | ReCo | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 74.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | CLIPpy ViT-B | https://arxiv.org/abs/2210.09996v3 | mIoU | 18.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 10.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | Cityscapes val | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | pixel accuracy | 35.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 50.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | TextRegion | https://arxiv.org/abs/2505.23769v1 | mIoU | 46.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 44.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 39.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 37.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | mIoU | 37.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 33.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | mIoU | 33.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | mIoU | 31.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 26.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | GroupViT (RedCaps) | https://arxiv.org/abs/2202.11094v5 | mIoU | 23.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-59 | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 22.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-60 | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 44.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-60 | TextRegion | https://arxiv.org/abs/2505.23769v1 | mIoU | 41.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-60 | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 40.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL Context-60 | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 35.4 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 91.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | TextRegion | https://arxiv.org/abs/2505.23769v1 | mIoU | 89.5 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 88.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 87.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 83.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 83.2 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | GroupViT (RedCaps) | https://arxiv.org/abs/2202.11094v5 | mIoU | 79.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | COSMOS ViT-B/16 | https://arxiv.org/abs/2412.01814v2 | mIoU | 77.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 74.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PascalVOC-20 | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 57.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | CorrCLIP | https://arxiv.org/abs/2411.10086v1 | mIoU | 76.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | TextRegion | https://arxiv.org/abs/2505.23769v1 | mIoU | 73.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | Trident | https://arxiv.org/abs/2411.09219v1 | mIoU | 70.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | CLS-SEG | https://arxiv.org/abs/2312.12828v1 | mIoU | 68.7 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | ProxyCLIP | https://arxiv.org/abs/2408.04883v1 | mIoU | 65.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | TTD (TCL) | https://arxiv.org/abs/2404.00384v2 | mIoU | 61.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | TCL | https://arxiv.org/abs/2212.00785v2 | mIoU | 55.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | TagAlign | https://arxiv.org/abs/2312.14149v4 | mIoU | 53.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | TTD (MaskCLIP) | https://arxiv.org/abs/2404.00384v2 | mIoU | 43.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | PASCAL VOC | MaskCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 29.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | ReCo+ | https://arxiv.org/abs/2206.07045v1 | mIoU | 31.9 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | ReCo+ | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 75.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 29.8 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | ReCo | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 70.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | DenseCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 15.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | KITTI-STEP | DenseCLIP | https://arxiv.org/abs/2112.01071v2 | pixel accuracy | 34.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | ReCo+ | https://arxiv.org/abs/2206.07045v1 | mIoU | 32.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | ReCo+ | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 54.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | CLS-SEG | https://arxiv.org/abs/2312.12828v1 | mIoU | 31.0 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | ReCo | https://arxiv.org/abs/2206.07045v1 | mIoU | 26.3 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | ReCo | https://arxiv.org/abs/2206.07045v1 | pixel accuracy | 46.1 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | DenseCLIP | https://arxiv.org/abs/2112.01071v2 | mIoU | 19.6 |
10-shot image generation > Semantic Segmentation > Unsupervised Semantic Segmentation > Unsupervised Semantic Segmentation with Language-image Pre-training | COCO-Stuff-27 | DenseCLIP | https://arxiv.org/abs/2112.01071v2 | pixel accuracy | 32.2 |
10-shot image generation > Semantic Segmentation > Road Segmentation | ChesapeakeRSC | U-Net (ResNet-18) | https://arxiv.org/abs/2401.06762v1 | DWR | 46.5 |
10-shot image generation > Semantic Segmentation > Road Segmentation | ChesapeakeRSC | DeepLabV3+ (ResNet-18) | https://arxiv.org/abs/2401.06762v1 | DWR | 46.1 |
10-shot image generation > Semantic Segmentation > Road Segmentation | ChesapeakeRSC | U-Net (ResNet-50) | https://arxiv.org/abs/2401.06762v1 | DWR | 45.7 |
10-shot image generation > Semantic Segmentation > Road Segmentation | ChesapeakeRSC | FCN | https://arxiv.org/abs/2401.06762v1 | DWR | 10.7 |
10-shot image generation > Semantic Segmentation > Road Segmentation | Massachusetts Roads Dataset | RSM-SS | https://arxiv.org/abs/2404.02668v2 | IoU | 67.35 |
10-shot image generation > Semantic Segmentation > Road Segmentation | Massachusetts Roads Dataset | RSM-SS | https://arxiv.org/abs/2404.02668v2 | F1 | 80.49 |
10-shot image generation > Semantic Segmentation > Road Segmentation | Massachusetts Roads Dataset | SPIN Road Mapper (ours) | https://arxiv.org/abs/2109.07701v1 | IoU | 65.24 |
10-shot image generation > Semantic Segmentation > Road Segmentation | Massachusetts Roads Dataset | SPIN Road Mapper (ours) | https://arxiv.org/abs/2109.07701v1 | APLS | 72.49 |
10-shot image generation > Semantic Segmentation > Road Segmentation | DeepGlobe | SPIN Road Mapper (ours) | https://arxiv.org/abs/2109.07701v1 | APLS | 0.7414 |
10-shot image generation > Semantic Segmentation > Road Segmentation | DeepGlobe | SPIN Road Mapper (ours) | https://arxiv.org/abs/2109.07701v1 | IoU | 0.6702 |
10-shot image generation > Semantic Segmentation > Road Segmentation | DeepGlobe | D-LinkNet | https://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Zhou_D-LinkNet_LinkNet_With_CVPR_2018_paper.pdf | IoU | 0.6412 |
10-shot image generation > Semantic Segmentation > Road Segmentation | DeepGlobe | CoANet + PRN | https://arxiv.org/abs/2211.06560v3 | mIoU | 70.6 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | khanhha's dataset - 4x upscaling | CSSR (SS→SR) | https://ieeexplore.ieee.org/abstract/document/9511400 | IoU_max | 0.558 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | khanhha's dataset - 4x upscaling | CSSR (SS→SR) | https://ieeexplore.ieee.org/abstract/document/9511400 | Average IOU | 0.558 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | khanhha's dataset - 4x upscaling | CSSR (SR→SS) | https://ieeexplore.ieee.org/abstract/document/9511400 | IoU_max | 0.587 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | khanhha's dataset - 4x upscaling | CSSR (SR→SS) | https://ieeexplore.ieee.org/abstract/document/9511400 | Average IOU | 0.518 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | CrackVision12K | Hybrid-Segmentor | https://arxiv.org/abs/2409.02866v1 | mIoU | 0.62982 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | CrackVision12K | UNet | http://arxiv.org/abs/1505.04597v1 | mIoU | 0.60333 |
10-shot image generation > Semantic Segmentation > Crack Segmentation | CrackVision12K | FCN | http://arxiv.org/abs/1411.4038v2 | mIoU | 0.59842 |
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