arXiv Machine Learning June 2, 2026 By Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick P\'erez, Raoul de Charette

Domain Adaptation with a Single Vision-Language Embedding

Read the original on arXiv Machine Learning →

arXiv:2410. 21361v2 Announce Type: replace-cross Abstract: Domain adaptation has been extensively investigated in computer vision but still requires access to target data at the training time, which might be difficult to obtain in real-world autonomous driving scenarios, especially under rare or adverse conditions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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SIDA: Synthetic Image Driven Zero-shot Domain Adaptation

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