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Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark.

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Title: Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark.
Authors: Xin, Yi1,2,3, Yang, Jianjiang2, Luo, Siqi4, Du, Yuntao1, Qin, Qi3, Chen, Haoxing1, Cen, Kangrui4, He, Yangfan2, Fu, Bin3, Cao, Yuewen3, He, Junjun3, Yang, Xiaokang4, Zhai, Guangtao4, Yang, Ming-Hsuan5, Liu, Xiaohong4, xiaohongliu@sjtu.edu.cn
Source: International Journal of Computer Vision; Jun2026, Vol. 134 Issue 6, p1-31, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194244654
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Vision%22">International Journal of Computer Vision</searchLink>; Jun2026, Vol. 134 Issue 6, p1-31, 31p
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      – Type: doi
        Value: 10.1007/s11263-026-02864-6
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      – Code: eng
        Text: English
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        PageCount: 31
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      – TitleFull: Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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