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首页|期刊导航|International Journal of Agricultural and Biological Engineering|Contrastive learning with multi-centroid proxy loss for domain adaptive cattle identification

Contrastive learning with multi-centroid proxy loss for domain adaptive cattle identification

Jianmin Zhao Qiusheng Lian Yufei Zhao

International Journal of Agricultural and Biological Engineering2026,Vol.19Issue(1):P.187-196,10.
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International Journal of Agricultural and Biological Engineering2026,Vol.19Issue(1):P.187-196,10.DOI:10.25165/j.ijabe.20261901.9242

Contrastive learning with multi-centroid proxy loss for domain adaptive cattle identification

Jianmin Zhao 1Qiusheng Lian 2Yufei Zhao3

作者信息

  • 1. School of Automation and Electrical Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,Inner Mongolia,China
  • 2. School of Information Science and Technology,Yanshan University,Qinhuangdao 066004,Hebei,China
  • 3. Vocational and Technical College,Inner Mongolia Agricultural University,Baotou 014109,Inner Mongolia,China
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摘要

关键词

cattle identification/precision livestock farming/unsupervised domain adaptation(UDA)/contrastive learning/unsupervised learning

分类

农业科技

引用本文复制引用

Jianmin Zhao,Qiusheng Lian,Yufei Zhao..Contrastive learning with multi-centroid proxy loss for domain adaptive cattle identification[J].International Journal of Agricultural and Biological Engineering,2026,19(1):P.187-196,10.

基金项目

supported in part by the National Natural Science Foundation of China(Grant No.32460858) (Grant No.32460858)

the Natural Science Foundation of Inner Mongolia Autonomous Region in China(Grant No.2023MS06014 and Grant No.2019LH06006) (Grant No.2023MS06014 and Grant No.2019LH06006)

Inner Mongolia Autonomous Region Science and Technology Plan Project in China(Grant No.2021GG0224) (Grant No.2021GG0224)

Fundamental Research Funds for Inner Mongolia University of Science&Technology[088] ()

Inner Mongolia Autonomous Region Science and Technology Special Project in China(Grant No.2019ZD025). (Grant No.2019ZD025)

International Journal of Agricultural and Biological Engineering

1934-6344

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