TD-Det: A Tiny Size Dense Aphid Detection Network under In-Field Environment.

Teng, Yue; Wang, Rujing; Du, Jianming; Huang, Ziliang; Zhou, Qiong; Jiao, Lin

Teng, Yue; Wang, Rujing; Du, Jianming; Huang, Ziliang; Zhou, Qiong; Jiao, Lin.

Affiliation

Teng Y; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
Wang R; Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China.
Du J; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
Huang Z; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
Zhou Q; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
Jiao L; Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230026, China.

Insects ; 13(6)2022 May 26.

Article de En | MEDLINE | ID: mdl-35735838

Mots clés

aphid detection; convolution neural network; dense distribution; multi-resolution training; multi-viewpoint detection; tiny size; transformer

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Insects Année: 2022 Type de document: Article Pays d'affiliation: Chine

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