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A Fine-Grained Image Classification Approach for Dog Feces Using MC-SCMNet under Complex Backgrounds.
Liang, Jinyu; Cai, Weiwei; Xu, Zhuonong; Zhou, Guoxiong; Li, Johnny; Xiang, Zuofu.
Affiliation
  • Liang J; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
  • Cai W; School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
  • Xu Z; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
  • Zhou G; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
  • Li J; Department of Soil and Water Systems, University of Idaho, Moscow, ID 83844, USA.
  • Xiang Z; Institute of Evolutionary Ecology and Conservation Biology, Central South University of Forestry and Technology, Changsha 410004, China.
Animals (Basel) ; 13(10)2023 May 17.
Article in En | MEDLINE | ID: mdl-37238089
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Animals (Basel) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Animals (Basel) Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland