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Models/SelectionGAN

SelectionGAN

Reported on 18 benchmarks across 3 tasks · 1 paper · 18 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Image-to-Image TranslationonDayton (64x64) - ground-to-aerial
SSIM· 2019-04-15
0.5118
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image-to-Image Translationoncvusa
SSIM· 2019-04-15
0.5323
best: 0.5366 (UniGAN)
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image-to-Image TranslationonDayton (64×64) - aerial-to-ground
SSIM· 2019-04-15
0.6865
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image-to-Image TranslationonEgo2Top
SSIM· 2019-04-15
0.6024
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image-to-Image TranslationonDayton (256×256) - ground-to-aerial
SSIM· 2019-04-15
0.3284
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image-to-Image TranslationonDayton (256×256) - aerial-to-ground
SSIM· 2019-04-15
0.5938
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807

Medical6 results

Image GenerationonDayton (64x64) - ground-to-aerial
SSIM· 2019-04-15
0.5118
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image Generationoncvusa
SSIM· 2019-04-15
0.5323
best: 0.5366 (UniGAN)
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image GenerationonDayton (64×64) - aerial-to-ground
SSIM· 2019-04-15
0.6865
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image GenerationonEgo2Top
SSIM· 2019-04-15
0.6024
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image GenerationonDayton (256×256) - ground-to-aerial
SSIM· 2019-04-15
0.3284
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
Image GenerationonDayton (256×256) - aerial-to-ground
SSIM· 2019-04-15
0.5938
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807

Miscellaneous6 results

1 Image, 2*2 StitchingonDayton (64x64) - ground-to-aerial
SSIM· 2019-04-15
0.5118
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
1 Image, 2*2 Stitchingoncvusa
SSIM· 2019-04-15
0.5323
best: 0.5366 (UniGAN)
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
1 Image, 2*2 StitchingonDayton (64×64) - aerial-to-ground
SSIM· 2019-04-15
0.6865
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
1 Image, 2*2 StitchingonEgo2Top
SSIM· 2019-04-15
0.6024
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
1 Image, 2*2 StitchingonDayton (256×256) - ground-to-aerial
SSIM· 2019-04-15
0.3284
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807
1 Image, 2*2 StitchingonDayton (256×256) - aerial-to-ground
SSIM· 2019-04-15
0.5938
SOTA
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation arXiv:1904.06807