Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection

Y Wu, R Yu, X Cheng, Z He, X Huang - arXiv preprint arXiv:2405.17816, 2024 - arxiv.org
In the open world, detecting out-of-distribution (OOD) data, whose labels are disjoint with
those of in-distribution (ID) samples, is important for reliable deep neural networks (DNNs) …
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Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection

Y Wu, R Yu, X Cheng, Z He, X Huang - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
In the open world, detecting out-of-distribution (OOD) data, whose labels are disjoint with
those of in-distribution (ID) samples, is important for reliable deep neural networks (DNNs) …