Paul Mahenina Randriamitsiry

DenseSwinLight: A Hybrid CNN–Transformer Model with Lightweight Post-hoc Fusion for Visual Explainability

The Hybrid CNN–Transformer architectures offer high-performance image analysis by combining local extraction and global contextual modeling. However, this integration complicates decision-making mechanisms and increases the opacity of models, making them difficult for human users to interpret. We propose DenseSwinLight...