Causal interventional training for image recognition
Deep learning models often fit undesired dataset bias in training. In this paper, we formulate the bias using causal inference, which helps us uncover the ever-elusive causalities among the key factors in training, and thus pursue the desired causal effect without the bias. We start from revisiting...
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Main Authors: | QIN, Wei, ZHANG, Hanwang, HONG, Richang, LIM, Ee-Peng, SUN, Qianru |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6743 https://ink.library.smu.edu.sg/context/sis_research/article/7746/viewcontent/CIT_final.pdf |
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Institution: | Singapore Management University |
Language: | English |
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