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 > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | U-Net | https://arxiv.org/abs/2409.11205v1 | Accuracy | 94.95 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | U-Net | https://arxiv.org/abs/2409.11205v1 | Average Accuracy | 74.74 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | U-Net | https://arxiv.org/abs/2409.11205v1 | Avg. F1 | 76.08 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | U-Net | https://arxiv.org/abs/2409.11205v1 | Jaccard (Mean) | 64.95 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Accuracy | 92.51 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Average Accuracy | 65.58 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Avg. F1 | 67.86 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HSI-Drive v2.0 | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Jaccard (Mean) | 56.63 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | RU-Net | https://arxiv.org/abs/2409.11205v1 | Accuracy | 86.72 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | RU-Net | https://arxiv.org/abs/2409.11205v1 | Average Accuracy | 68.79 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | RU-Net | https://arxiv.org/abs/2409.11205v1 | Avg. F1 | 69.19 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | RU-Net | https://arxiv.org/abs/2409.11205v1 | Average Jaccard | 58.64 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | U-Net | https://arxiv.org/abs/2409.11205v1 | Accuracy | 85.36 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | U-Net | https://arxiv.org/abs/2409.11205v1 | Average Accuracy | 68.15 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | U-Net | https://arxiv.org/abs/2409.11205v1 | Avg. F1 | 68.55 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | U-Net | https://arxiv.org/abs/2409.11205v1 | Average Jaccard | 57.39 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Accuracy | 84.10 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Average Accuracy | 63.01 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Avg. F1 | 64.90 |
10-shot image generation > Semantic Segmentation > Hyperspectral Semantic Segmentation | HyKo2-VIS | DeepLabV3+ | https://arxiv.org/abs/2409.11205v1 | Average Jaccard | 53.22 |
10-shot image generation > Semantic Segmentation > Amodal Panoptic Segmentation | BDD100K val | APSNet | https://arxiv.org/abs/2202.11542v1 | APQ | 46.3 |
10-shot image generation > Semantic Segmentation > Amodal Panoptic Segmentation | BDD100K val | APSNet | https://arxiv.org/abs/2202.11542v1 | APC | 47.3 |
10-shot image generation > Semantic Segmentation > Amodal Panoptic Segmentation | BDD100K val | APSNet | https://arxiv.org/abs/2202.11542v1 | AP | 29.2 |
10-shot image generation > Semantic Segmentation > Amodal Panoptic Segmentation | BDD100K val | APSNet | https://arxiv.org/abs/2202.11542v1 | mIoU | 53.3 |
10-shot image generation > Decoder | ^(#$!@#$)(()))****** | peacock return policy | https://arxiv.org/abs/2010.10348v2 | 0-shot MRR | 13 |
10-shot image generation > Decoder | ^(#$!@#$)(()))****** | e | https://arxiv.org/abs/2310.02992v3 | 0..5sec | w |
10-shot image generation > Image Restoration | CDD-11 | OneRestore | https://arxiv.org/abs/2407.04621v4 | Average PSNR (dB) | 28.72 |
10-shot image generation > Image Restoration | CDD-11 | OneRestore | https://arxiv.org/abs/2407.04621v4 | SSIM | 0.8828 |
10-shot image generation > Image Restoration | CDD-11 | SRUDC | https://arxiv.org/abs/2308.04163v1 | Average PSNR (dB) | 27.64 |
10-shot image generation > Image Restoration | CDD-11 | SRUDC | https://arxiv.org/abs/2308.04163v1 | SSIM | 0.8600 |
10-shot image generation > Image Restoration | CDD-11 | Restormer | https://arxiv.org/abs/2111.09881v2 | Average PSNR (dB) | 26.99 |
10-shot image generation > Image Restoration | CDD-11 | Restormer | https://arxiv.org/abs/2111.09881v2 | SSIM | 0.8646 |
10-shot image generation > Image Restoration | CDD-11 | WGWSNet | http://openaccess.thecvf.com//content/CVPR2023/html/Zhu_Learning_Weather-General_and_Weather-Specific_Features_for_Image_Restoration_Under_Multiple_CVPR_2023_paper.html | Average PSNR (dB) | 26.96 |
10-shot image generation > Image Restoration | CDD-11 | WGWSNet | http://openaccess.thecvf.com//content/CVPR2023/html/Zhu_Learning_Weather-General_and_Weather-Specific_Features_for_Image_Restoration_Under_Multiple_CVPR_2023_paper.html | SSIM | 0.8626 |
10-shot image generation > Image Restoration | CDD-11 | DGUNet | https://arxiv.org/abs/2204.13348v1 | Average PSNR (dB) | 26.92 |
10-shot image generation > Image Restoration | CDD-11 | DGUNet | https://arxiv.org/abs/2204.13348v1 | SSIM | 0.8559 |
10-shot image generation > Image Restoration | CDD-11 | OKNet | https://ojs.aaai.org/index.php/AAAI/article/view/27907 | Average PSNR (dB) | 26.33 |
10-shot image generation > Image Restoration | CDD-11 | OKNet | https://ojs.aaai.org/index.php/AAAI/article/view/27907 | SSIM | 0.8605 |
10-shot image generation > Image Restoration | CDD-11 | MIRNet | https://arxiv.org/abs/2003.06792v2 | Average PSNR (dB) | 25.97 |
10-shot image generation > Image Restoration | CDD-11 | MIRNet | https://arxiv.org/abs/2003.06792v2 | SSIM | 0.8474 |
10-shot image generation > Image Restoration | CDD-11 | PromptIR | https://arxiv.org/abs/2306.13090v1 | Average PSNR (dB) | 25.90 |
10-shot image generation > Image Restoration | CDD-11 | PromptIR | https://arxiv.org/abs/2306.13090v1 | SSIM | 0.8499 |
10-shot image generation > Image Restoration | CDD-11 | MPRNet | https://arxiv.org/abs/2102.02808v2 | Average PSNR (dB) | 25.47 |
10-shot image generation > Image Restoration | CDD-11 | MPRNet | https://arxiv.org/abs/2102.02808v2 | SSIM | 0.8555 |
10-shot image generation > Image Restoration | CDD-11 | MIRNetv2 | https://arxiv.org/abs/2205.01649v1 | Average PSNR (dB) | 25.37 |
10-shot image generation > Image Restoration | CDD-11 | MIRNetv2 | https://arxiv.org/abs/2205.01649v1 | SSIM | 0.8335 |
10-shot image generation > Image Restoration | CDD-11 | NAFNet | https://arxiv.org/abs/2204.04676v4 | Average PSNR (dB) | 24.13 |
10-shot image generation > Image Restoration | CDD-11 | NAFNet | https://arxiv.org/abs/2204.04676v4 | SSIM | 0.7964 |
10-shot image generation > Image Restoration | CDD-11 | AirNet | http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html | Average PSNR (dB) | 23.75 |
10-shot image generation > Image Restoration | CDD-11 | AirNet | http://openaccess.thecvf.com//content/CVPR2022/html/Li_All-in-One_Image_Restoration_for_Unknown_Corruption_CVPR_2022_paper.html | SSIM | 0.8140 |
10-shot image generation > Image Restoration | CDD-11 | TransWeather | https://arxiv.org/abs/2111.14813v2 | Average PSNR (dB) | 23.13 |
10-shot image generation > Image Restoration | CDD-11 | TransWeather | https://arxiv.org/abs/2111.14813v2 | SSIM | 0.7810 |
10-shot image generation > Image Restoration | CDD-11 | WeatherDiff | https://arxiv.org/abs/2207.14626v2 | Average PSNR (dB) | 22.49 |
10-shot image generation > Image Restoration | CDD-11 | WeatherDiff | https://arxiv.org/abs/2207.14626v2 | SSIM | 0.7985 |
10-shot image generation > Image Restoration | UHDM | ESDNet-L | https://arxiv.org/abs/2207.09935v1 | PSNR | 22.422 |
10-shot image generation > Image Restoration | UHDM | ESDNet | https://arxiv.org/abs/2207.09935v1 | PSNR | 22.119 |
10-shot image generation > Image Restoration | ^(#$!@#$)(()))****** | 73 | https://arxiv.org/abs/1911.05030v1 | 0L | 37 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 3x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 34.21 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 3x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.9218 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 3x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 32.16 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 3x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.942 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 32.04 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.8907 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 31.76 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.8858 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 31.36 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 2x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.8790 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 28.54 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.7728 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 28.43 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.7693 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 28.26 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set14 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.7688 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 30.86 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.9086 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 30.5 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.9037 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 29.9 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Manga109 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.8793 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 27.6 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.7285 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 27.51 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.7248 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 27.29 |
10-shot image generation > Image Restoration > Blind Super-Resolution | BSD100 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.8014 |
10-shot image generation > Image Restoration > Blind Super-Resolution | DRealSR | SeeSR+RFSR | https://arxiv.org/abs/2412.03268v1 | clipiqa | 0.7596 |
10-shot image generation > Image Restoration > Blind Super-Resolution | DRealSR | SeeSR+RFSR | https://arxiv.org/abs/2412.03268v1 | musiq | 67.48 |
10-shot image generation > Image Restoration > Blind Super-Resolution | DRealSR | SeeSR+RFSR | https://arxiv.org/abs/2412.03268v1 | maniqa | 0.5922 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 37.63 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.9554 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 37.33 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.9526 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 36.62 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 2x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.9658 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | PSNR | 32.12 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | DCLS | https://arxiv.org/abs/2202.07508v3 | SSIM | 0.889 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | PSNR | 31.89 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | DAN | https://arxiv.org/abs/2010.02631v4 | SSIM | 0.8864 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | PSNR | 31.52 |
10-shot image generation > Image Restoration > Blind Super-Resolution | Set5 - 4x upscaling | IKC | https://arxiv.org/abs/1904.03377v2 | SSIM | 0.9278 |
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