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 ⌀ |
|---|---|---|---|---|---|
Scene Generation | GoogleEarth | PersistentNature | https://arxiv.org/abs/2303.13515v1 | FID | 123.83 |
Scene Generation | GoogleEarth | SGAM | null | KID | 0.358 |
Scene Generation | GoogleEarth | SGAM | null | Depth Error | 0.575 |
Scene Generation | GoogleEarth | SGAM | null | Camera Error | 239.291 |
Scene Generation | GoogleEarth | SGAM | null | FID | 277.64 |
Scene Generation | VizDoom | GSN | https://arxiv.org/abs/2104.00670v1 | FID | 37.21 |
Scene Generation | VizDoom | GSN | https://arxiv.org/abs/2104.00670v1 | SwAV-FID | 4.56 |
Scene Generation | VizDoom | GRAF | https://arxiv.org/abs/2007.02442v4 | FID | 47.50 |
Scene Generation | VizDoom | GRAF | https://arxiv.org/abs/2007.02442v4 | SwAV-FID | 5.44 |
Scene Generation | VizDoom | pi-GAN | https://arxiv.org/abs/2012.00926v2 | FID | 143.55 |
Scene Generation | VizDoom | pi-GAN | https://arxiv.org/abs/2012.00926v2 | SwAV-FID | 15.26 |
Scene Generation | OSM | InfiniteGAN | https://arxiv.org/abs/2104.03963v4 | Average FID | 183.14 |
Scene Generation | OSM | InfiniteGAN | https://arxiv.org/abs/2104.03963v4 | KID | 0.288 |
Scene Generation | OSM | IPSM | null | Average FID | 321.47 |
Scene Generation | OSM | IPSM | null | KID | 0.502 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | UniNet | https://pangdatangtt.github.io/#:~:text=guided%20anomaly%20discrimination.-,Abstract,-Anomaly%20detection%20(AD | Acc | 100.0 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | OpticNet-71 | https://arxiv.org/abs/1910.05672v1 | Acc | 99.8 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | OpticNet-71 | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 99.8 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Xception | https://arxiv.org/abs/1910.05672v1 | Acc | 99.7 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Xception | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 99.7 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | WideResNet-50-2 (EMA-decay=0.999) | https://arxiv.org/abs/2010.12316v1 | Acc | 99.69 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | MobileNet-v2 | https://arxiv.org/abs/1910.05672v1 | Acc | 99.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | MobileNet-v2 | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 99.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | ResNet50-v1 | http://arxiv.org/abs/1512.03385v1 | Acc | 99.3 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | ResNet50-v1 | http://arxiv.org/abs/1512.03385v1 | Sensitivity | 99.3 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | ResNet50-v1 | https://arxiv.org/abs/1910.05672v1 | Acc | 99.3 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | ResNet50-v1 | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 99.3 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | MobileNet-v2 | http://arxiv.org/abs/1801.04381v4 | Acc | 98.5 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | MobileNet-v2 | http://arxiv.org/abs/1801.04381v4 | Sensitivity | 99.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 | http://arxiv.org/abs/1512.00567v3 | Acc | 96.6 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 | http://arxiv.org/abs/1512.00567v3 | Sensitivity | 97.8 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 | https://arxiv.org/abs/1910.05672v1 | Acc | 96.6 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 97.8 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Joint-Attention-Network MobileNet-v2 | https://arxiv.org/abs/2005.08094v2 | Acc | 95.6 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 (limited) | http://arxiv.org/abs/1512.00567v3 | Acc | 93.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 (limited) | http://arxiv.org/abs/1512.00567v3 | Sensitivity | 96.6 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 (limited) | https://arxiv.org/abs/1910.05672v1 | Acc | 93.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | InceptionV3 (limited) | https://arxiv.org/abs/1910.05672v1 | Sensitivity | 96.6 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Joint-Attention-Network ResNet50-v1 | https://arxiv.org/abs/2005.08094v2 | Acc | 92.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Joint-Attention-Network OpticNet-71 | https://arxiv.org/abs/2005.08094v2 | Acc | 77.4 |
Disease Prediction > Retinal OCT Disease Classification | OCT2017 | Xception | http://openaccess.thecvf.com/content_cvpr_2017/html/Chollet_Xception_Deep_Learning_CVPR_2017_paper.html | Sensitivity | 99.7 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | OpticNet-71 | https://arxiv.org/abs/1910.05672v1 | Acc | 100 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Joint-Attention-Network ResNet50-v1 | https://arxiv.org/abs/2005.08094v2 | Acc | 100 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Joint-Attention-Network OpticNet-71 | https://arxiv.org/abs/2005.08094v2 | Acc | 99.68 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Xception | http://openaccess.thecvf.com/content_cvpr_2017/html/Chollet_Xception_Deep_Learning_CVPR_2017_paper.html | Acc | 99.36 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Joint-Attention-Network MobileNet-v2 | https://arxiv.org/abs/2005.08094v2 | Acc | 99.36 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Xception | https://arxiv.org/abs/1910.05672v1 | Acc | 99.36 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | MobileNet-v2 | http://arxiv.org/abs/1801.04381v4 | Acc | 97.46 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | MobileNet-v2 | https://arxiv.org/abs/1910.05672v1 | Acc | 97.46 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Karri et al. | https://arxiv.org/abs/1910.05672v1 | Acc | 96 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | ResNet50-v1 | http://arxiv.org/abs/1512.03385v1 | Acc | 94.92 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | ResNet50-v1 | https://arxiv.org/abs/1910.05672v1 | Acc | 94.92 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Awais et al. | https://arxiv.org/abs/1910.05672v1 | Acc | 93 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Lee et al. | http://arxiv.org/abs/1612.04891v1 | Acc | 87.63 |
Disease Prediction > Retinal OCT Disease Classification | Srinivasan2014 | Lee et al. | https://arxiv.org/abs/1910.05672v1 | Acc | 87.63 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (ABPA) | 0.687 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (Diabetes) | 0.771 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | I. Obstruction | 0.577 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (I. Obstruction) | 0.577 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (K. Pneumonia) | 0.718 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (E. Coli) | 0.701 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | PASS | http://arxiv.org/abs/1810.10489v1 | AUC (Aspergillus) | 0.640 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (ABPA) | 0.685 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (Diabetes) | 0.764 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | I. Obstruction | 0.578 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (I. Obstruction) | 0.578 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (K. Pneumonia) | 0.715 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (E. Coli) | 0.697 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | RETAIN | http://arxiv.org/abs/1608.05745v4 | AUC (Aspergillus) | 0.641 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (ABPA) | 0.657 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (Diabetes) | 0.751 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (I. Obstruction) | 0.553 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (K. Pneumonia) | 0.685 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (E. Coli) | 0.656 |
Disease Prediction > Disease Trajectory Forecasting | UK CF trust | MLP | null | AUC (Aspergillus) | 0.601 |
Style Transfer | StyleBench | StyleShot | https://arxiv.org/abs/2407.01414v1 | CLIP Score | 0.660 |
Style Transfer | StyleBench | StyleID | https://arxiv.org/abs/2312.09008v2 | CLIP Score | 0.604 |
Style Transfer | StyleBench | StrTR-2 | http://openaccess.thecvf.com//content/CVPR2022/html/Deng_StyTr2_Image_Style_Transfer_With_Transformers_CVPR_2022_paper.html | CLIP Score | 0.586 |
Style Transfer | StyleBench | CAST | https://arxiv.org/abs/2205.09542v2 | CLIP Score | 0.575 |
Style Transfer | StyleBench | AdaAttN | https://arxiv.org/abs/2108.03647v2 | CLIP Score | 0.569 |
Style Transfer | StyleBench | InST | https://arxiv.org/abs/2211.13203v3 | CLIP Score | 0.569 |
Style Transfer | StyleBench | EFDM | https://arxiv.org/abs/2203.07740v2 | CLIP Score | 0.561 |
Style Transfer | 01/01/1967' AND 2*3*8=6*8 AND 'AncJ'='AncJ | Ali | https://arxiv.org/abs/2402.04499v2 | 0..5sec | Download |
Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | BLEU-4 | 76.93 |
Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | Accuracy | 94.37 |
Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | Harmonic mean | 84.74 |
Style Transfer | ^(#$!@#$)(()))****** | studio Ghibli | https://arxiv.org/abs/2206.09379v2 | 0..5sec | studio Ghibli |
Style Transfer | WikiArt | StyleFlow-Content-Fixed-I2I | https://arxiv.org/abs/2207.01909v1 | SSIM | 0.45 |
Style Transfer | WikiArt | Mamba-ST | https://arxiv.org/abs/2409.10385v1 | ArtFID | 27.11 |
Person Re-Identification | RegDB | CM-LSP-GE | https://arxiv.org/abs/2206.04401v1 | Rank-1 | 94.13 |
Person Re-Identification | DukeMTMC-reID->Market-1501 | OGNet | https://arxiv.org/abs/2006.04569v3 | mAP | 17.2 |
Person Re-Identification | DukeMTMC-reID->Market-1501 | OGNet | https://arxiv.org/abs/2006.04569v3 | Rank-1 | 41.4 |
Person Re-Identification | Market-1501->DukeMTMC-reID | OGNet | https://arxiv.org/abs/2006.04569v3 | mAP | 16.3 |
Person Re-Identification | Market-1501->DukeMTMC-reID | OGNet | https://arxiv.org/abs/2006.04569v3 | Rank-1 | 31.3 |
Person Re-Identification | Market-1501->DukeMTMC-reID | PN-GAN [qian2018pose] | http://arxiv.org/abs/1712.02225v6 | mAP | 15.8 |
Person Re-Identification | Market-1501->DukeMTMC-reID | PN-GAN [qian2018pose] | http://arxiv.org/abs/1712.02225v6 | Rank-1 | 29.9 |
Person Re-Identification | SoccerNet-v2 | ViT-B/16 | https://arxiv.org/abs/2206.02373v1 | mAP | 86.0 |
Person Re-Identification | SoccerNet-v2 | ViT-B/16 | https://arxiv.org/abs/2206.02373v1 | Rank-1 | 81.5 |
Person Re-Identification | MSMT17 | CLIP-ReID (with re-ranking) | https://arxiv.org/abs/2211.13977v4 | Rank-1 | 91.2 |
Person Re-Identification | MSMT17 | CLIP-ReID (with re-ranking) | https://arxiv.org/abs/2211.13977v4 | mAP | 86.7 |
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