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Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.

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Title: Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.
Authors: Zhou, Nana1 (AUTHOR) zhounana@sdxiehe.edu.cn, Zhao, Xianhua2 (AUTHOR), Zhou, Fengjun1 (AUTHOR), Li, Ji1 (AUTHOR), Yue, Xiuming1 (AUTHOR)
Source: PLoS ONE. 6/26/2026, Vol. 21 Issue 6, p1-20. 20p.
Database: Academic Search Ultimate
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  Data: Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/26/2026, Vol. 21 Issue 6, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194901517
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        Value: 10.1371/journal.pone.0352325
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