Self-Supervised Frontalization and Rotation Gan with Random Swap for Pose-Invariant Face Recognition-Reference-Cited by-同舟云学术

Self-Supervised Frontalization and Rotation Gan with Random Swap for Pose-Invariant Face Recognition

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Liao Jiashu¹,Sanchez Victor¹,Guha Tanaya²

Affiliation:

1. University of Warwick,Department of Computer Science,UK

2. University of Glasgow,School of Computing Science,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897944.pdf?arnumber=9897944

Reference24 articles.

1. Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images

2. Gans trained by a two time-scale update rule converge to a local nash equilibrium;heusel;Conference on Neural Information Processing Systems (NeurIPS),2017

3. Towards Large-Pose Face Frontalization in the Wild

4. Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A

5. Unsupervised learning of probably symmetric deformable 3d objects from images in the wild;shangzhe;CVPR,2020

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