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 ⌀ |
|---|---|---|---|---|---|
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | X-Seq | http://arxiv.org/abs/1803.03396v2 | SSIM | 0.5031 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | X-Fork | http://arxiv.org/abs/1803.03396v2 | SSIM | 0.4963 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | Pix2pix | http://arxiv.org/abs/1611.07004v3 | SSIM | 0.418 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | UniGAN | https://arxiv.org/abs/1912.06112v2 | SSIM | 0.3357 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | UniGAN | https://arxiv.org/abs/1912.06112v2 | KL | 5.17 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | UniGAN | https://arxiv.org/abs/1912.06112v2 | PSNR | 22.0273 |
Image-to-Image Translation > Cross-View Image-to-Image Translation | Dayton (256×256) - aerial-to-ground | UniGAN | https://arxiv.org/abs/1912.06112v2 | SD | 17.6542 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | VTGAN | https://arxiv.org/abs/2104.06757v3 | FID | 17.3 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | VTGAN | https://arxiv.org/abs/2104.06757v3 | Kernel Inception Distance | 0.00053 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio w/o Perceptual Loss | https://arxiv.org/abs/2007.09191v1 | FID | 20.7 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio w/o Perceptual Loss | https://arxiv.org/abs/2007.09191v1 | Kernel Inception Distance | 0.00392 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | U-GAT-IT | https://arxiv.org/abs/1907.10830v4 | FID | 24.5 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | U-GAT-IT | https://arxiv.org/abs/1907.10830v4 | Kernel Inception Distance | 0.00131 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio | https://arxiv.org/abs/2007.09191v1 | FID | 24.6 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio | https://arxiv.org/abs/2007.09191v1 | Kernel Inception Distance | 0.00087 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | StarGAN-v2 | https://arxiv.org/abs/1912.01865v2 | FID | 27.7 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | StarGAN-v2 | https://arxiv.org/abs/1912.01865v2 | Kernel Inception Distance | 0.00118 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Fundus2Angio | https://arxiv.org/abs/2005.05267v2 | FID | 30.3 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Fundus2Angio | https://arxiv.org/abs/2005.05267v2 | Kernel Inception Distance | 0.00184 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | pix2pixHD | http://arxiv.org/abs/1711.11585v2 | FID | 42.8 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | pix2pixHD | http://arxiv.org/abs/1711.11585v2 | Kernel Inception Distance | 0.00258 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio w/o Perceptual Loss + Feature Matching Loss | https://arxiv.org/abs/2007.09191v1 | FID | 47.5 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | Attention2Angio w/o Perceptual Loss + Feature Matching Loss | https://arxiv.org/abs/2007.09191v1 | Kernel Inception Distance | 0.00595 |
Image-to-Image Translation > Fundus to Angiography Generation | Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients | pix2pix | http://arxiv.org/abs/1611.07004v3 | FID | 48.6 |
Image-to-Image Translation > Facial Makeup Transfer | CPM-Synt-1 | CPM | https://arxiv.org/abs/2104.01867v1 | mIOU | 0.788 |
Image-to-Image Translation > Facial Makeup Transfer | CPM-Synt-2 | CPM | https://arxiv.org/abs/2104.01867v1 | MS-SSIM | 0.977 |
Image-to-Image Translation > Virtual Try-Off | VITON-HD | TryOffDiff | https://arxiv.org/abs/2411.18350v1 | DISTS | 0.230 |
Sketch > Sketch Recognition > Image to sketch recognition | MiniDomainNet | Crafting-Shifts(ResNet18) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 57.51 |
Sketch > Sketch Recognition > Image to sketch recognition | Im4Sketch | rBTE (ResNet101) | https://arxiv.org/abs/2202.13164v2 | Accuracy | 11.3 |
Sketch > Sketch Recognition > Image to sketch recognition | Im4Sketch | ResNet101 | https://arxiv.org/abs/2202.13164v2 | Accuracy | 5.3 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | Crafting-Shifts(ResNet18) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 74.13 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | rBTE (ResNet18) | https://arxiv.org/abs/2202.13164v2 | Accuracy | 70.6 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | Crafting-Shifts(AlexNet) | https://arxiv.org/abs/2409.19774v1 | Accuracy | 68.5 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | ITTA (ResNet18) | https://arxiv.org/abs/2304.04494v2 | Accuracy | 63.8 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | XDED (ResNet18) | https://arxiv.org/abs/2211.14058v1 | Accuracy | 51.5 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | SagNet (ResNet18) | https://arxiv.org/abs/1910.11645v4 | Accuracy | 40.7 |
Sketch > Sketch Recognition > Image to sketch recognition | PACS | SelfReg (ResNet18) | https://arxiv.org/abs/2104.09841v1 | Accuracy | 33.71 |
Sketch > Sketch Recognition > Image to sketch recognition | Sketchy | rBTE (ResNet101) | https://arxiv.org/abs/2202.13164v2 | Accuracy | 57.2 |
Sketch > Sketch Recognition > Image to sketch recognition | Sketchy | ResNet101 | https://arxiv.org/abs/2202.13164v2 | Accuracy | 11.4 |
Sketch > Face Sketch Synthesis | CUFSF | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | FSIM | 72.9% |
Sketch > Face Sketch Synthesis | CUFSF | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | FID | 18.2 |
Sketch > Face Sketch Synthesis | CUFSF | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | NLDA | 78 |
Sketch > Face Sketch Synthesis | CUFSF | CA-GAN | https://arxiv.org/abs/1712.00899v4 | FSIM | 72.7% |
Sketch > Face Sketch Synthesis | CUFSF | CA-GAN | https://arxiv.org/abs/1712.00899v4 | FID | 19.6 |
Sketch > Face Sketch Synthesis | CUFSF | CA-GAN | https://arxiv.org/abs/1712.00899v4 | NLDA | 78.1 |
Sketch > Face Sketch Synthesis | CUFSF | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | FSIM | 71.59% |
Sketch > Face Sketch Synthesis | CUFSF | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | SSIM | 40.85% |
Sketch > Face Sketch Synthesis | SKSF-A | StyleSketch | https://arxiv.org/abs/2403.11263v1 | LPIPS | 0.1772 |
Sketch > Face Sketch Synthesis | CUHK | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | SSIM | 63.28% |
Sketch > Face Sketch Synthesis | CUHK | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | FSIM | 74.23% |
Sketch > Face Sketch Synthesis | CUHK | PS2-MAN | http://arxiv.org/abs/1710.10182v2 | SSIM | 61.56% |
Sketch > Face Sketch Synthesis | CUHK | PS2-MAN | http://arxiv.org/abs/1710.10182v2 | FSIM | 73.61% |
Sketch > Face Sketch Synthesis | Multi-Modal CelebA-HQ | Diffusion | https://arxiv.org/abs/2212.00793v2 | FID | 26.09 |
Sketch > Face Sketch Synthesis | CUFS | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | FSIM | 72.56% |
Sketch > Face Sketch Synthesis | CUFS | Residual net + Pseudo Sketch Feature Loss + LSGAN | https://arxiv.org/abs/1812.04929v2 | SSIM | 54.63% |
Sketch > Face Sketch Synthesis | CUFS | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | FSIM | 71.6% |
Sketch > Face Sketch Synthesis | CUFS | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | FID | 34.2 |
Sketch > Face Sketch Synthesis | CUFS | SCA-GAN | https://arxiv.org/abs/1712.00899v4 | NLDA | 95.7 |
Sketch > Face Sketch Synthesis | CUFS | CA-GAN | https://arxiv.org/abs/1712.00899v4 | FSIM | 71.2% |
Sketch > Face Sketch Synthesis | CUFS | CA-GAN | https://arxiv.org/abs/1712.00899v4 | FID | 39.7 |
Sketch > Face Sketch Synthesis | CUFS | CA-GAN | https://arxiv.org/abs/1712.00899v4 | NLDA | 95.6 |
Sketch > Face Sketch Synthesis | CUFS | SCA-GAN4 | https://arxiv.org/abs/1712.00899v4 | FID | 32.8 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | StyleShot | https://arxiv.org/abs/2407.01414v1 | CLIP Score | 0.660 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | StyleID | https://arxiv.org/abs/2312.09008v2 | CLIP Score | 0.604 |
Sketch > Drawing Pictures > 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 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | CAST | https://arxiv.org/abs/2205.09542v2 | CLIP Score | 0.575 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | AdaAttN | https://arxiv.org/abs/2108.03647v2 | CLIP Score | 0.569 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | InST | https://arxiv.org/abs/2211.13203v3 | CLIP Score | 0.569 |
Sketch > Drawing Pictures > Style Transfer | StyleBench | EFDM | https://arxiv.org/abs/2203.07740v2 | CLIP Score | 0.561 |
Sketch > Drawing Pictures > Style Transfer | 01/01/1967' AND 2*3*8=6*8 AND 'AncJ'='AncJ | Ali | https://arxiv.org/abs/2402.04499v2 | 0..5sec | Download |
Sketch > Drawing Pictures > Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | BLEU-4 | 76.93 |
Sketch > Drawing Pictures > Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | Accuracy | 94.37 |
Sketch > Drawing Pictures > Style Transfer | GYAFC | BART (TextBox 2.0) | https://arxiv.org/abs/2212.13005v1 | Harmonic mean | 84.74 |
Sketch > Drawing Pictures > Style Transfer | ^(#$!@#$)(()))****** | studio Ghibli | https://arxiv.org/abs/2206.09379v2 | 0..5sec | studio Ghibli |
Sketch > Drawing Pictures > Style Transfer | WikiArt | StyleFlow-Content-Fixed-I2I | https://arxiv.org/abs/2207.01909v1 | SSIM | 0.45 |
Sketch > Drawing Pictures > Style Transfer | WikiArt | Mamba-ST | https://arxiv.org/abs/2409.10385v1 | ArtFID | 27.11 |
Domain Adaptation | MSDA | MetaSelf-Learning | https://arxiv.org/abs/2108.10840v1 | Average Accuracy | 42% |
Domain Adaptation | Cityscapes-to-FoggyZurich | CoDA | https://arxiv.org/abs/2403.17369v3 | mIoU | 60.9 |
Domain Adaptation | Cityscapes-to-FoggyZurich | BWG | https://pure.uva.nl/ws/files/153124325/2357.pdf | mIoU | 51.3 |
Domain Adaptation | Cityscapes-to-FoggyZurich | FogAdapt+ | https://arxiv.org/abs/2201.02588v3 | mIoU | 50.6 |
Domain Adaptation | Cityscapes-to-FoggyZurich | CuDA-Net | https://arxiv.org/abs/2112.00484v1 | mIoU | 49.1 |
Domain Adaptation | Cityscapes-to-FoggyZurich | FIFO | https://arxiv.org/abs/2204.01587v1 | mIoU | 48.4 |
Domain Adaptation | Cityscapes-to-FoggyZurich | CMAda3+ | http://arxiv.org/abs/1901.01415v2 | mIoU | 46.8 |
Domain Adaptation | SYNTHIA-to-Cityscapes | HALO | https://arxiv.org/abs/2306.11180v5 | mIoU | 78.1 |
Domain Adaptation | SYNTHIA-to-Cityscapes | HALO | https://arxiv.org/abs/2306.11180v5 | Extra Manual Annotation | Yes |
Domain Adaptation | SYNTHIA-to-Cityscapes | ILM-ASSL | https://arxiv.org/abs/2301.13361v4 | mIoU | 76.6 |
Domain Adaptation | SYNTHIA-to-Cityscapes | ILM-ASSL | https://arxiv.org/abs/2301.13361v4 | Extra Manual Annotation | Yes |
Domain Adaptation | SYNTHIA-to-Cityscapes | DCF | https://arxiv.org/abs/2311.12682v1 | mIoU | 69.3 |
Domain Adaptation | SYNTHIA-to-Cityscapes | HRDA+PiPa | https://arxiv.org/abs/2211.07609v1 | mIoU | 68.2 |
Domain Adaptation | SYNTHIA-to-Cityscapes | MIC | https://arxiv.org/abs/2212.01322v2 | mIoU | 67.3 |
Domain Adaptation | SYNTHIA-to-Cityscapes | FREDOM - Transformer | https://arxiv.org/abs/2304.02135v1 | mIoU | 67 |
Domain Adaptation | SYNTHIA-to-Cityscapes | HRDA | https://arxiv.org/abs/2204.13132v2 | mIoU | 65.8 |
Domain Adaptation | SYNTHIA-to-Cityscapes | SePiCo | https://arxiv.org/abs/2204.08808v2 | mIoU | 64.3 |
Domain Adaptation | SYNTHIA-to-Cityscapes | MIC + Guidance Training | https://arxiv.org/abs/2403.14995v1 | mIoU | 63.8 |
Domain Adaptation | SYNTHIA-to-Cityscapes | DAFormer + ProCST | https://arxiv.org/abs/2204.11891v2 | mIoU | 61.6 |
Domain Adaptation | SYNTHIA-to-Cityscapes | DAFormer | https://arxiv.org/abs/2111.14887v2 | mIoU | 60.9 |
Domain Adaptation | SYNTHIA-to-Cityscapes | GtA-SFDA (DeepLabv2-ResNet101) | https://arxiv.org/abs/2108.11249v1 | mIoU | 60.1 |
Domain Adaptation | SYNTHIA-to-Cityscapes | FREDOM - DeepLabV2 | https://arxiv.org/abs/2304.02135v1 | mIoU | 59.1 |
Domain Adaptation | SYNTHIA-to-Cityscapes | SePiCo (DeepLabv2-ResNet-101) | https://arxiv.org/abs/2204.08808v2 | mIoU | 58.1 |
Domain Adaptation | SYNTHIA-to-Cityscapes | ProDA+CRA | https://arxiv.org/abs/2109.06422v2 | mIoU | 56.9 |
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