2 papers
cs.LG2021
Adaptive Transfer Learning on Graph Neural Networks
Xueting Han, Zhenhuan Huang, Bang An +1
Graph neural networks (GNNs) is widely used to learn a powerful representation of graph-structured data. Recent work demonstrates that transferring knowledge from self-supervised t…
cs.CV2021
Interpretable Attention Guided Network for Fine-grained Visual Classification
Zhenhuan Huang, Xiaoyue Duan, Bo Zhao +2
Fine-grained visual classification (FGVC) is challenging but more critical than traditional classification tasks. It requires distinguishing different subcategories with the inhere…