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Feature-Improving Generative Adversarial Network for Face Frontalization

Face frontalization can boost the performance of face recognition methods and has made significant progress with the development of Generative Adversarial Networks (GANs). However, many GAN-based face frontalization methods still perform relatively weak on face recognition tasks under large face pos...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Changle Rong, Xingming Zhang, Yubei Lin
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2020-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/9057608/
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