1. Very deep convolutional networks for large-scale image recognition;simonyan,2014
2. Deep Residual Learning for Image Recognition
3. Layer normalization;ba,2016
4. Gaussian error linear units;hendrycks,2016
5. Inverse transformation sampling-based attentive cutout for fine-grained visual recognition;guo;The Visual Computer,2022