An efficient low-shot class-agnostic counting framework with hybrid encoder and iterative exemplar feature learning

• Qinghua Yang,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China

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• Bin Liu,

  Roles Formal analysis, Investigation, Project administration, Visualization, Writing – review & editing

  Affiliation Energy Ningxia Coal Industry Co., Ltd., YangChangWan Coal Mine, YingChuan, NingXia, China

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• Yan Tian,

  Roles Data curation, Formal analysis, Investigation, Validation, Writing – review & editing

  Affiliation School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China

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• Yangming Shi,

  Roles Investigation, Methodology, Software, Writing – review & editing

  Affiliation School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China

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• Xinxin Du,

  Roles Data curation, Investigation, Validation, Visualization, Writing – review & editing

  Affiliation School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing, China

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• Fangyuan He,

  Roles Formal analysis, Funding acquisition, Project administration, Resources, Writing – review & editing

  Affiliation College of Applied Science and Technology of Beijing Union University, Beijing, China

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• Jikun Guo

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Resources, Writing – review & editing

  * E-mail: guojikun@gdupt.edu.cn

  Affiliation School of Electronic and Information Engineering, Guangdong University of Petrochemical Technology, Guangdong, China

  https://orcid.org/0009-0007-1892-1878

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