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University of Peradeniya
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HiLRP achieves 0.97 Pointing accuracy in class activation mapping, far surpassing the 0.55 of existing methods, revealing the critical need for unified attribution in diverse ViT architectures.
Attribution performance varies dramatically across architectures, challenging the assumption that CNN-based evaluations apply to Vision Transformers.