Cross-Architecture Distillation for Face Recognition

Author:

Zhao Weisong1ORCID,Zhu Xiangyu2ORCID,He Zhixiang3ORCID,Zhang Xiao-Yu1ORCID,Lei Zhen4ORCID

Affiliation:

1. Institute of Information Engineering, CAS & School of Cyber Security, UCAS, Beijing, China

2. MAIS, CASIA & School of Artificial Intelligence, UCAS, Beijing, China

3. China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China

4. MAIS, CASIA, School of Artificial Intelligence, UCAS, & CAIR, HKISI, CAS, Beijing, China

Funder

the Youth Innovation Promotion Association CAS and InnoHK program

Beijing Natural Science Foundation

Chinese National Natural Science Foundation Projects

Publisher

ACM

Reference62 articles.

1. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

2. End-to-End Object Detection with Transformers

3. Cross-Layer Distillation with Semantic Calibration

4. MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

5. DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer

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