Two-stage optimization based on heterogeneous branch fusion for knowledge distillation

• Gang Li ,

  Contributed equally to this work with: Gang Li, Pengfei Lv

  Roles Conceptualization, Supervision, Writing – original draft

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

  https://orcid.org/0000-0002-0406-834X

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• Pengfei Lv ,

  Contributed equally to this work with: Gang Li, Pengfei Lv

  Roles Conceptualization, Methodology, Writing – original draft

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

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• Yang Zhang ,

  Roles Conceptualization, Methodology

  * E-mail: zhangyang@cqnu.edu.cn

  Affiliation School of Computer and Information Science, Chongqing Normal University, Chongqing, China

  https://orcid.org/0000-0002-3588-4702

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• Chuanyun Xu ,

  Roles Methodology

  * E-mail: zhangyang@cqnu.edu.cn

  Affiliation School of Computer and Information Science, Chongqing Normal University, Chongqing, China

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• Zihan Ruan,

  Roles Formal analysis

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

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• Zheng Zhou,

  Roles Supervision

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

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• Xinyu Fan,

  Roles Writing – review & editing

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

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• Ru Wang,

  Roles Validation

  Affiliation School of Artificial Intelligence, Chongqing University of Technology, Chongqing, China

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• Pan He

  Roles Writing – review & editing

  Affiliation School of Computer and Information Science, Chongqing Normal University, Chongqing, China

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