CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning

[PDF] arxiv.org

Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection

Y Li, C Wang, X Xia, X He, R An, D Li, T Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Unsupervised out-of-distribution (U-OOD) detection is to identify OOD data samples with a
detector trained solely on unlabeled in-distribution (ID) data. The likelihood function …
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[PDF] arxiv.org

Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure

AS Wahd - arXiv preprint arXiv:2405.00631, 2024 - arxiv.org
In this paper, we present a novel approach that combines deep metric learning and synthetic
data generation using diffusion models for out-of-distribution (OOD) detection. One popular …
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