Raising the bar on the evaluation of out-of-distribution detection

Raising the bar on the evaluation of out-of-distribution detection

In image classification, a lot of development has happened in detecting out-of-distribution (OoD) data. However, most OoD detection methods are evaluated on a standard set of datasets, arbitrarily different from training data. There is no clear definition of what forms a "good" OoD dataset...

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Hlavní autoři: Mukhoti, J, Lin, T-Y, Chen, B-C, Shah, A, Torr, PHS, Dokania, PK, Lim, S-N
Médium: Conference item
Jazyk:English
Vydáno: EEE 2023

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