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: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| 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 |
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| Institution: | Singapore Management University |
| Language: | English |