CAMAL adds an auxiliary regularizer during training that aligns model attention with segmentation masks to improve both spatial accuracy and causal faithfulness of attention in deep learning and deep reinforcement learning vision models.
Mukund Sundararajan, Ankur Taly, and Qiqi Yan
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CAMAL: Improving Attention Alignment and Faithfulness with Segmentation Masks
CAMAL adds an auxiliary regularizer during training that aligns model attention with segmentation masks to improve both spatial accuracy and causal faithfulness of attention in deep learning and deep reinforcement learning vision models.