A benchmark analysis of saliency-based explainable deep learning methods for the morphological classification of radio galaxies

M. T. Atemkeng, C. Chuma, S. Zaza +2

This work proposes a saliency-based attribution framework to evaluate and compare 10 state-of-the-art explainability methods for deep learning models in astronomy, focusing on the…