Face Recognition Method Based on Lightweight Network SE-ShuffleNet V2
Hong-Rong Jing Hong-Rong Jing,
Guo-Jun Lin Hong-Rong Jing,
Zhong-Ling Liu Guo-Jun Lin
et al.
Abstract:<p>We develop a more efficient lightweight network based on SE-ShuffleNet V2 to address the issues of large parameter sizes and sluggish feature extraction rates in large networks in the field of face recognition. First, to increase the network’s accuracy and inference speed, the ReLU activation function of the original ShuffleNet V2 basic unit is swapped out for a segmented linear activation function. Second, the SE attention mechanism is added to the lightweight network ShuffleNet V2… Show more
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