EAT: Towards Long-Tailed Out-of-Distribution Detection

1 code implementation • 14 Dec 2023 • Tong Wei, Bo-Lin Wang, Min-Ling Zhang

The main difficulty lies in distinguishing OOD data from samples belonging to the tail classes, as the ability of a classifier to detect OOD instances is not strongly correlated with its accuracy on the in-distribution classes.

Long-tail Learning Out-of-Distribution Detection +1