PCaM couples attention rollout with a center-focus loss to crop foreground regions during ViT domain adaptation, but the published loss equation has a sign that pushes attention away from the center.
Self- supervised representation learning for geospatial objects: A survey.Informa- tion Fusion, page 103265, 2025
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PCaM: A Progressive Focus Attention-Based Information Fusion Method for Improving Vision Transformer Domain Adaptation
PCaM couples attention rollout with a center-focus loss to crop foreground regions during ViT domain adaptation, but the published loss equation has a sign that pushes attention away from the center.