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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 N; School of Computer Science, Shandong Xiehe University, Shandong, China., Zhao X; Jinan Energy Investment Holding Group Co., Ltd., Shandong, China., Zhou F; School of Computer Science, Shandong Xiehe University, Shandong, China., Li J; School of Computer Science, Shandong Xiehe University, Shandong, China., Yue X; School of Computer Science, Shandong Xiehe University, Shandong, China.
Source: PloS one [PLoS One] 2026 Jun 26; Vol. 21 (6), pp. e0352325. Date of Electronic Publication: 2026 Jun 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1371/journal.pone.0352325
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