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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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2021-12, Vol.21 (24), p.8369
Hauptverfasser:	Luo, Yizhi, Zeng, Zhixiong, Lu, Huazhong, Lv, Enli
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Animals Attention Cameras channel-wise attention Datasets Deep learning Discriminant analysis Farmers Farms Humidity Lightweight lightweight model Neural networks Neural Networks, Computer pig postures Posture real-time detection Sitting Position Swine Teaching methods Video recorders Wireless networks
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