Tweeted By @alxndrkalinin
iResNet: Improved Residual Networks for Image and Video Recognition in #PyTorch
— Alexandr Kalinin (@alxndrkalinin) April 14, 2020
- improving ResNet performance w/o increasing parameters & computation
- more effective in training very deep models: >400 layers (on ImageNet) & >3000 layers (on CIFAR-10/100)https://t.co/mFqHKFUGcZ pic.twitter.com/YTvIjklm4r