A systematic review of attention duality in deep visual models for performance and faithfulness tradeoffs
While deep learning models have achieved remarkable performance in computer vision, their internal decision logic often remains opaque. Attention mechanisms serve a dual function: dynamically prioritizing discriminative features to maximize predictive performance while simultaneously generating visual heatmaps for expl...