2 papers
cs.CV2025
Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability
Syamantak Sarkar, Revoti P. Bora, Bhupender Kaushal +2
Class Activation Maps (CAMs) are one of the important methods for visualizing regions used by deep learning models. Yet their robustness to different noise remains underexplored. I…
cs.LG2020
Regularization with Latent Space Virtual Adversarial Training
Genki Osada, Budrul Ahsan, Revoti Prasad Bora +1
Virtual Adversarial Training (VAT) has shown impressive results among recently developed regularization methods called consistency regularization. VAT utilizes adversarial samples,…