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Learning from algorithm-generated pseudo-annotations for detecting ants in videos.
Zhang, Yizhe; Imirzian, Natalie; Kurze, Christoph; Zheng, Hao; Hughes, David P; Chen, Danny Z.
Afiliación
  • Zhang Y; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. zhangyizhe@njust.edu.cn.
  • Imirzian N; Department of Entomology and Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA.
  • Kurze C; Department of Bioengineering, Imperial College London, London, UK.
  • Zheng H; Department of Entomology and Department of Biology, Pennsylvania State University, University Park, PA, 16802, USA.
  • Hughes DP; Institute for Zoology, University of Regensburg, Regensburg, DE, Germany.
  • Chen DZ; Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
Sci Rep ; 13(1): 11566, 2023 07 18.
Article en En | MEDLINE | ID: mdl-37464003
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hormigas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hormigas Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China