Funder
National Natural Science Foundation of China
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference33 articles.
1. Y. Shen, Y. Xiong, W. Xia, S. Soatto, Towards backward-compatible representation learning, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 6368–6377.
2. Unified representation learning for cross model compatibility;Wang,2020
3. K. Chen, Y. Wu, H. Qin, D. Liang, X. Liu, J. Yan, R3 adversarial network for cross model face recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 9868–9876.
4. Y. Fu, Y. Wei, G. Wang, Y. Zhou, H. Shi, T.S. Huang, Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 6112–6121.
5. Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person Re-identification;Ge,2020