Learning Domain Invariant Representations for Generalizable Person Re-Identification-Reference-Cited by-同舟云学术

Learning Domain Invariant Representations for Generalizable Person Re-Identification

Published:2023 Issue: Volume:32 Page:509-523
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Yi-Fan¹^ORCID,Zhang Zhang¹^ORCID,Li Da¹^ORCID,Jia Zhen¹^ORCID,Wang Liang²^ORCID,Tan Tieniu²

Affiliation:

1. National Laboratory of Pattern Recognition (NLPR), Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/09997549.pdf?arnumber=9997549

Reference81 articles.

1. Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification

2. Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

3. Large scale metric learning from equivalence constraints

4. Augmentation Invariant and Instance Spreading Feature for Softmax Embedding

5. Densely Semantically Aligned Person Re-Identification

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