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Computer vision classification detection of chicken parts based on optimized Swin-Transformer

In order to achieve real-time classification and detection of various chicken parts, this study introduces an optimized Swin-Transformer method for the classification and detection of multiple chicken parts. It initially leverages the Transformer’s self-attention structure to capture more comprehens...

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Principais autores: Xianhui Peng, Chenchen Xu, Peng Zhang, Dandan Fu, Yan Chen, Zhigang Hu
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis Group 2024-12-01
coleção:CyTA - Journal of Food
Assuntos:
Chicken parts
Swin-Transformer
comparison test
classification detection
deep learning
transfer learning
Acesso em linha:https://www.tandfonline.com/doi/10.1080/19476337.2024.2347480
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