Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification

Author:

Ang Eugene P.W.1ORCID,Lin Shan1ORCID,Kot Alex C.1ORCID

Affiliation:

1. Rapid-Rich Object Search (ROSE) Lab; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Publisher

ACM

Reference40 articles.

1. Eugene Ang, Shan Lin, and Alex C. Kot. 2021. DEX: Domain Embedding Expansion for Generalized Person Re-identification. In The 32nd British Machine Vision Conference. 14.

2. Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification

3. Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, and Changick Kim. 2021. Meta Batch-Instance Normalization for Generalizable Person Re-Identification. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

4. Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, and Ling-Yu Duan. 2021. Generalizable Person Re-identification with Relevance-aware Mixture of Experts. In 2021 Conference on Computer Vision and Pattern Recognition (CVPR). arxiv:2105.09156

5. Sanjoy Dasgupta and Anupam Gupta. 2002. An Elementary Proof of a Theorem of Johnson and Lindenstrauss. In Random Structures and Algorithms. 1–10. https://doi.org/10.1002/rsa.10073

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