CFormerFaceNet: Efficient Lightweight Network Merging a CNN and Transformer for Face Recognition

Most face recognition methods rely on deep convolutional neural networks (CNNs) that construct multiple layers of processing units in a cascaded form and employ convolution operations to fuse local features. However, these methods are not conducive to modeling the global semantic information of the...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Lin He, Lile He, Lijun Peng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-05-01
Schriftenreihe:	Applied Sciences
Schlagworte:	face recognition CNN transformer lightweight network transpose attention
Online-Zugang:	https://www.mdpi.com/2076-3417/13/11/6506
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