Training GANs with Limited Data
This video explains the Adaptive Discriminator Augmentation (ADA) technique from researchers at NVIDIA to train GANs with as few as 1,000 examples! This is a strategy to use data augmentation for discriminator overfitting without causing the generator to in turn produce data with these augmentations. Thanks for watching! Please Subscribe!
Paper Links:
Training GANs with Limited Data: https://arxiv.org/pdf/2006.06676.pdf
Image Augmentations for GAN Training: https://arxiv.org/abs/2006.02595
bCR / zCR: https://arxiv.org/pdf/1910.12027.pdf
RandAugment: https://arxiv.org/pdf/1909.13719.pdf
Freeze Discriminator: https://arxiv.org/pdf/2002.10964.pdf
MineGAN (not mentioned, but another interesting paper w.r.t. transfer learning in GANs): https://arxiv.org/pdf/1912.05270.pdf
Watch video Training GANs with Limited Data online without registration, duration hours minute second in high quality. This video was added by user Connor Shorten 16 June 2020, don't forget to share it with your friends and acquaintances, it has been viewed on our site 11,277 once and liked it 287 people.