CLS-GAN

Reported on 2 benchmarks across 1 task · 1 paper

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

Computer Vision2 results

Image ClassificationonCIFAR-10
Percentage correct· 2017-01-23
91.7
best: 99.5 (ViT-H/14)
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities arXiv:1701.06264
Image ClassificationonSVHN
Percentage error· 2017-01-23
5.98
best: 1 (E2E-M3)
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities arXiv:1701.06264