Jian-Xun Mi

Decomposing decisions: causal concept explanations for deep learning models

The Causal Concept Decomposer (CCD) is introduced, a three-stage framework for concept-driven causal explanation of object detectors that produces explanations that are both visually coherent and quantitatively more faithful than existing approaches.