CrossNet

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

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

Computer Vision1 result

Image-to-Image Translationoncvusa
SSIM· 2016-12-08
0.4147
best: 0.5366 (UniGAN)
SOTA
Predicting Ground-Level Scene Layout from Aerial Imagery arXiv:1612.02709

Medical1 result

Image Generationoncvusa
SSIM· 2016-12-08
0.4147
best: 0.5366 (UniGAN)
SOTA
Predicting Ground-Level Scene Layout from Aerial Imagery arXiv:1612.02709

Miscellaneous1 result

1 Image, 2*2 Stitchingoncvusa
SSIM· 2016-12-08
0.4147
best: 0.5366 (UniGAN)
SOTA
Predicting Ground-Level Scene Layout from Aerial Imagery arXiv:1612.02709