Causal attention for unbiased visual recognition

• Main Authors: WANG, Tan, ZHOU, Chang, SUN, Qianru, ZHANG, Hanwang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Graphics and Human Computer Interfaces
• Online Access: 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
• Institution: Singapore Management University

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...