SecureReID: Privacy-Preserving Anonymization for Person Re-Identification
Author:
Affiliation:
1. National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, School of Computer Science, Hubei Luojia Laboratory, Wuhan University, Wuhan, China
2. Zhejiang Laboratory, Hangzhou, China
Funder
National Natural Science Foundation of China
Key Research and Development Project of Hubei Province
Zhejiang Laboratory
Special Fund of Hubei Luojia Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/10206/10319981/10409614.pdf?arnumber=10409614
Reference61 articles.
1. Learnable Privacy-Preserving Anonymization for Pedestrian Images
2. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking
3. 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
4. A study of face obfuscation in ImageNet;Yang;arXiv:2103.06191,2021
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