most citedImproved Robustness to Open Set Inputs via Tempered Mixup

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cs.CV2020★ 1 cited

Improved Robustness to Open Set Inputs via Tempered Mixup

Ryne Roady, Tyler L. Hayes, Christopher Kanan

Supervised classification methods often assume that evaluation data is drawn from the same distribution as training data and that all classes are present for training. However, rea…

cs.CV2019

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

Ryne Roady, Tyler L. Hayes, Ronald Kemker +2

Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, dep…