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cs.CV2025
Visual Explanation via Similar Feature Activation for Metric Learning
Yi Liao, Ugochukwu Ejike Akpudo, Jue Zhang +4
Visual explanation maps enhance the trustworthiness of decisions made by deep learning models and offer valuable guidance for developing new algorithms in image recognition tasks.…
cs.CV2025
Dynamic Accumulated Attention Map for Interpreting Evolution of Decision-Making in Vision Transformer
Yi Liao, Yongsheng Gao, Weichuan Zhang
Various Vision Transformer (ViT) models have been widely used for image recognition tasks. However, existing visual explanation methods can not display the attention flow hidden in…