613 citations · 831 across the 27 of their papers we have counts for
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cs.CV2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang, Han Wang, Xiang Wang +1
Domain Generalization (DG), designed to enhance out-of-distribution (OOD) generalization, is all about learning invariance against domain shifts utilizing sufficient supervision si…
cs.CV2023★ 22 cited
Redundancy-aware Transformer for Video Question Answering
Yicong Li, Xun Yang, An Zhang +3
This paper identifies two kinds of redundancy in the current VideoQA paradigm. Specifically, the current video encoders tend to holistically embed all video clues at different gran…
cs.CV2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance
An Zhang, Xiang Wang, Chengfang Fang +3
Gradient-based attribution methods can aid in the understanding of convolutional neural networks (CNNs). However, the redundancy of attribution features and the gradient saturation…