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cs.CV2025
Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks
Jacob Piland, Chris Sweet, Adam Czajka
Existing saliency-guided training approaches improve model generalization by incorporating a loss term that compares the model's class activation map (CAM) for a sample's true-clas…
cs.LG2025
DiffGradCAM: A Class Activation Map Using the Full Model Decision to Solve Unaddressed Adversarial Attacks
Jacob Piland, Chris Sweet, Adam Czajka
Class Activation Mapping (CAM) and its gradient-based variants (e.g., GradCAM) have become standard tools for explaining Convolutional Neural Network (CNN) predictions. However, th…