Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
An important line of research attempts to explain CNN image classifier predictions and intermediate layer representations in terms of human understandable concepts. In this work, we expand on previous works in the literature that use annotated concept datasets to extract interpretable feature space directions and propose an unsupervised post-hoc method …