90 citations · 159 across the 13 of their papers we have counts for
3 papers · 1 filter
Squared Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations
Haohan Wang, Zeyi Huang, Xindi Wu +1
Data augmentation is one of the most popular techniques for improving the robustness of neural networks. In addition to directly training the model with original samples and augmen…
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang, Yang Zou, Vijayakumar Bhagavatula +1
Weakly Supervised Object Detection (WSOD) has emerged as an effective tool to train object detectors using only the image-level category labels. However, without object-level label…
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang, Haohan Wang, Eric P. Xing +1
Convolutional Neural Networks (CNN) conduct image classification by activating dominant features that correlated with labels. When the training and testing data are under similar d…