Transferring Visual Explanations: How Cross-Architecture Knowledge Distillation Affects Model Interpretability

Deploying efficient neural networks is essential in resource-constrained environments, yet compact models often sacrifice interpretability - a critical in safety-critical domains such as autonomous driving and medicine. This study investigates whether Knowledge Distillation transfers the spatial fea