Introduces a perturbation-based fidelity metric tailored to few-class CNN classifiers for real-conditions XAI evaluation, tested on medical and natural imaging against human-centric metrics.
Resisting out-of-distribution data problem in perturbation of xai
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations
Introduces a perturbation-based fidelity metric tailored to few-class CNN classifiers for real-conditions XAI evaluation, tested on medical and natural imaging against human-centric metrics.