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Domain generalization (DG) has attracted much attention in person re-identification (ReID) recently.
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Z. Dai, M. Chen, X. Gu, S. Zhu, P. Tan, Batch dropblock network for person re-identification and beyond, in: International Conference on Computer Vision (ICCV), 2019, pp. 3690–3700
2019
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K. Zhou, Y. Yang, A. Cavallaro, T. Xiang, Omni-scale feature learning for person re-identification, in: International Conference on Computer Vision (ICCV), 2019, pp. 3701–3711
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M. Zheng, S. Karanam, Z. Wu, R. J. Radke, Re-identification with consistent attentive siamese networks, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 5735–5744
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L. Qi, L. Wang, J. Huo, L. Zhou, Y. Shi, Y. Gao, A novel unsupervised camera-aware domain adaptation framework for person re-identification, in: International Conference on Computer Vision (ICCV), 2019, pp. 8079–8088
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A. Wu, W. Zheng, J. Lai, Unsupervised person re-identification by camera-aware similarity consistency learning, in: International Conference on Computer Vision (ICCV), 2019, pp. 6921–6930
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J. Jia, Q. Ruan, T. M. Hospedales, Frustratingly easy person re-identification: Generalizing person re-id in practice, in: British Machine Vision Conference (BMVC), 2019, p. 117
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M. Li, X. Zhu, S. Gong, Unsupervised tracklet person re-identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42 (7) (2020) 1770–1782
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2021
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W. Chang, T. You, S. Seo, S. Kwak, B. Han, Domain-specific batch normalization for unsupervised domain adaptation, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, pp. 7354–7362
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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: International Conference on Computer Vision (ICCV), 2019, pp. 6111–6120
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L. Qi, L. Wang, J. Huo, Y. Shi, Y. Gao, Progressive cross-camera soft-label learning for semi-supervised person re-identification, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 30 (9) (2020) 2815–2829
2020
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Y. Zhai, S. Lu, Q. Ye, X. Shan, J. Chen, R. Ji, Y. Tian, Ad-cluster: Augmented discriminative clustering for domain adaptive person re-identification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 9018–9027
2020
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X. Jin, C. Lan, W. Zeng, Z. Chen, L. Zhang, Style normalization and restitution for generalizable person re-identification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 3140–3149
2020
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S. Liao, L. Shao, Interpretable and generalizable person re-identification with query-adaptive convolution and temporal lifting, in: European Conference on Computer Vision (ECCV), 2020, pp. 456–474
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2021
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H. Feng, M. Chen, J. Hu, D. Shen, H. Liu, D. Cai, Complementary pseudo labels for unsupervised domain adaptation on person re-identification, IEEE Transactions on Image Processing (TIP) 30 (2021) 2898–2907
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2021
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K. Zheng, C. Lan, W. Zeng, Z. Zhang, Z. Zha, Exploiting sample uncertainty for domain adaptive person re-identification, in: AAAI Conference on Artificial Intelligence (AAAI), 2021, pp. 3538–3546
2021
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Y. Dai, J. Liu, Y. Sun, Z. Tong, C. Zhang, L.-Y. Duan, Idm: An intermediate domain module for domain adaptive person re-id, in: International Conference on Computer Vision (ICCV), 2021, pp. 11864–11874
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