CHiQPM is a hierarchical interpretable image classifier that maintains 99% of non-interpretable model accuracy while supplying contrastive global explanations, human-like hierarchical paths, and calibrated interpretable set predictions via conformal prediction.
Pip-net: Patch-based intuitive prototypes for interpretable image classification.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
CHiQPM is a hierarchical interpretable image classifier that maintains 99% of non-interpretable model accuracy while supplying contrastive global explanations, human-like hierarchical paths, and calibrated interpretable set predictions via conformal prediction.