Implicit Mutual Learning With Dual-Branch Networks for Face Super-Resolution
Author:
Affiliation:
1. NERCMS, School of Computer Science, Wuhan University, Wuhan, China
2. Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8423754/10490303/10409565.pdf?arnumber=10409565
Reference70 articles.
1. D2SC-GAN: Dual Deep-Shallow Channeled Generative Adversarial Network, for Resolving Low-Resolution Faces for Recognition in Classroom Scenarios
2. Domain-Specific Adaptation of CNN for Detecting Face Presentation Attacks in NIR
3. Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition
4. Utilizing Alignment Loss to Advance Eye Center Detection and Face Recognition in the LWIR Band
5. Implicit Identity Driven Deepfake Face Swapping Detection
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