arXiv Machine Learning July 1, 2026 By Aditi Naiknaware, Salimeh Sekeh

T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World

Read the original on arXiv Machine Learning →

arXiv:2603. 18481v2 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) detection remains a critical challenge in open-world learning, where models must adapt to evolving data distributions.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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