Mengluan Huang

Vector Quantization With Self-Attention for Quality-Independent Representation Learning

Recently, the robustness of deep neural networks has drawn extensive attention due to the potential distribution shift between training and testing data (e.g., deep models trained on high-quality images are sensitive to corruption during testing). Many researchers attempt to make the model learn inv…