Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from Southern China

Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from Southern China

Abstract Background Rapid identification and classification of bats are critical for practical applications. However, species identification of bats is a typically detrimental and time-consuming manual task that depends on taxonomists and well-trained experts. Deep Convolutional Neural Networks (DCN...

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Dades bibliogràfiques
Autors principals: Zhong Cao, Kunhui Wang, Jiawei Wen, Chuxian Li, Yi Wu, Xiaoyun Wang, Wenhua Yu
Format: Article
Idioma:English
Publicat: BMC 2024-04-01
Col·lecció:Frontiers in Zoology
Matèries:
Attention mechanism
Bat
Convolutional block attention module (CBAM)
Species identification
VGG16
Accés en línia:https://doi.org/10.1186/s12983-024-00531-5

Internet

https://doi.org/10.1186/s12983-024-00531-5

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