Posture Detection of Individual Pigs Based on Lightweight Convolution Neural Networks and Efficient Channel-Wise Attention

In this paper, a lightweight channel-wise attention model is proposed for the real-time detection of five representative pig postures: standing, lying on the belly, lying on the side, sitting, and mounting. An optimized compressed block with symmetrical structure is proposed based on model structure...

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Detalles Bibliográficos
Autores principales: Luo, Yizhi, Zeng, Zhixiong, Lu, Huazhong, Lv, Enli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705977/
https://www.ncbi.nlm.nih.gov/pubmed/34960477
http://dx.doi.org/10.3390/s21248369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705977/
https://www.ncbi.nlm.nih.gov/pubmed/34960477
http://dx.doi.org/10.3390/s21248369

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