Enhancing Classification Models With Sophisticated Counterfactual Images
In deep learning, training data, which are mainly from realistic scenarios, often carry certain biases. This causes deep learning models to learn incorrect relationships between features when using these training data. However, because these models have <italic>black boxes</italic>, thes...
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Main Authors: | Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Open Journal of Signal Processing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10843353/ |
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