Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead

Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski

Convolutional neural networks applied for real-world classification tasks need to recognize inputs that are far or out-of-distribution (OoD) with respect to the known or training d…