Deep Feature Reweighting

New method tackles CNNs' reliance on spurious correlations

Researchers have developed Deep Attention Reweighting (DAR), a novel post-hoc method to improve the generalization and fairness of Convolutional Neural Networks (CNNs). DAR addresses the issue of CNNs exploiting spuriou…