Causal attention for unbiased visual recognition

Attention module does not always help deep models learn causal features that are robust in any confounding context, e.g., a foreground object feature is invariant to different backgrounds. This is because the confounders trick the attention to capture spurious correlations that benefit the predictio...

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Main Authors: WANG, Tan, ZHOU, Chang, SUN, Qianru, ZHANG, Hanwang
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2021
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/6228
https://ink.library.smu.edu.sg/context/sis_research/article/7231/viewcontent/Wang_Causal_Attention_for_Unbiased_Visual_Recognition_ICCV_2021_paper.pdf
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