most citedLinking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks

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cs.CV2023

SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance

Jarrod Haas

Out-of-Distribution (OoD) detection has developed substantially in the past few years, with available methods approaching, and in a few cases achieving, perfect data separation on…