Gradient-Skipping Relevance Propagation for Efficient Explainability of Vision Transformers

Christopher Buratti, Michele Marchetti, Federica Parlapiano +3

Vision Transformers (ViTs) are difficult to interpret because current methods of relevance propagation and attention flow do not fully consider some key architectural features, suc…