Face-based age estimation using improved Swin Transformer with attention-based convolution

Face-based age estimation using improved Swin Transformer with attention-based convolution

Recently Transformer models is new direction in the computer vision field, which is based on self multihead attention mechanism. Compared with the convolutional neural network, this Transformer uses the self-attention mechanism to capture global contextual information and extract more strong feature...

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Bibliographic Details
Main Authors: Chaojun Shi, Shiwei Zhao, Ke Zhang, Yibo Wang, Longping Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Neuroscience
Subjects:
age estimation
Swin Transformer
attention mechanism
deep learning
neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1136934/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1136934/full

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