Toward Metrics for Differentiating Out-of-Distribution Sets

Mahdieh Abbasi, Changjian Shui, Arezoo Rajabi +2

Vanilla CNNs, as uncalibrated classifiers, suffer from classifying out-of-distribution (OOD) samples nearly as confidently as in-distribution samples. To tackle this challenge, som…