Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs

arXiv:2404.19341v1 Announce Type: new
Abstract: Deep learning models have achieved remarkable success across diverse domains. However, the intricate nature of these models often impedes a clear understanding of their decision-making processes. This is where Explainable AI (XAI) becomes indispensable, offering intuitive explanations for model decisions. In this work, we propose a simple yet highly effective approach, ScoreCAM++, which introduces modifications to enhance the promising ScoreCAM method for visual explainability. Our proposed approach involves altering the normalization function within the activation …

abstract arxiv clear cnns cs.ai cs.cv decision decisions deep learning diverse domains explainable ai features however making nature processes success type understanding visual work xai