Posterior-based extreme value outlier rejection outperforms predictive entropy for out-of-distribution detection, while the additional benefit of generative classifiers is partial and benchmark-dependent.
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Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
Posterior-based extreme value outlier rejection outperforms predictive entropy for out-of-distribution detection, while the additional benefit of generative classifiers is partial and benchmark-dependent.