most citedCOOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification

L. E. Hogeweg, R. Gangireddy, D. Brunink +3

High-performing out-of-distribution (OOD) detection, both anomaly and novel class, is an important prerequisite for the practical use of classification models. In this paper, we fo…