Re-Identification of Amur Tigers by Combining Multi-branch and Multi-granularity Features

In order to solve the problem of insufficient detailed feature extraction in the re-identification of the Amur tiger, a re- identification model of the Amur tiger, CMM-NET, was proposed, which combined multi-branch and multi-granularity features. The global branch is responsible for extracting macro...

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Bibliographic Details
Main Authors: LI Xiao nan, ZHU Meng, REN Hong e, TAO Rui
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2023-12-01
Series:Journal of Harbin University of Science and Technology
Subjects:
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2281
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