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cs.CV2024
Explaining an image classifier with a generative model conditioned by uncertainty
Adrien LeCoz, Stéphane Herbin, Faouzi Adjed
We propose to condition a generative model by a given image classifier uncertainty in order to analyze and explain its behavior. Preliminary experiments on synthetic data and a cor…
cs.CV2024
Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
Adrien LeCoz, Houssem Ouertatani, Stéphane Herbin +1
Image classifiers should be used with caution in the real world. Performance evaluated on a validation set may not reflect performance in the real world. In particular, classifiers…