Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?

no code implementations • 30 Oct 2019 • Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan

We found that input perturbation and temperature scaling yield the best performance on large scale datasets regardless of the feature space regularization strategy.

General Classification Image Classification +3