Style-Controllable Generalized Person Re-identification

Author:

Li Yuke1ORCID,Song Jingkuan1ORCID,Ni Hao1ORCID,Shen Heng Tao1ORCID

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

SongShan Laboratory

National Key R&D Program of China

Fok Ying-Tong Education Foundation

Publisher

ACM

Reference60 articles.

1. Person30K: A Dual-Meta Generalization Network for Person Re-Identification

2. Slawomir Bak , Peter Carr , and Jean-Franccois Lalonde . 2018 . Domain Adaptation Through Synthesis for Unsupervised Person Re-identification. In Computer Vision - ECCV 2018 - 15th European Conference , Munich , Germany, September 8-14, 2018, Proceedings, Part XIII (Lecture Notes in Computer Science , Vol. 11217), Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.). Springer, 193-- 209 . Slawomir Bak, Peter Carr, and Jean-Franccois Lalonde. 2018. Domain Adaptation Through Synthesis for Unsupervised Person Re-identification. In Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XIII (Lecture Notes in Computer Science, Vol. 11217), Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss (Eds.). Springer, 193--209.

3. Binghui Chen , Weihong Deng , and Jiani Hu . 2019 . Mixed High-Order Attention Network for Person Re-Identification. In 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019 , Seoul, Korea (South), October 27 - November 2, 2019. IEEE, 371--381. Binghui Chen, Weihong Deng, and Jiani Hu. 2019. Mixed High-Order Attention Network for Person Re-Identification. In 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019. IEEE, 371--381.

4. Data Generation for Improving Person Re-identification

5. Dual Distribution Alignment Network for Generalizable Person Re-Identification

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