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Deep Network Pruning: A Comparative Study on CNNs in Face Recognition
The method is tested on three networks based on the small SqueezeNet (1. 24M parameters) and the popular MobileNetv2 (3. 5M) and ResNet50 (23. 5M) architectures.
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication.
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