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MobileFAN: Transferring Deep Hidden Representation for Face Alignment

Facial landmark detection is a crucial prerequisite for many face analysis applications. Deep learning-based methods currently dominate the approach of addressing the facial landmark detection. However, such works generally introduce a large number of parameters, resulting in high memory cost.

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Cite this as

Yang Zhao, Yifan Liu, Chunhua Shen, Yongsheng Gao, Shengwu Xiong (2024). Dataset: MobileFAN: Transferring Deep Hidden Representation for Face Alignment. https://doi.org/10.57702/255o5nv7

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Author Yang Zhao
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Yifan Liu
Chunhua Shen
Yongsheng Gao
Shengwu Xiong
Homepage https://arxiv.org/abs/2006.11141