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Rectifying Pseudo Label By Mutual Disagreement Learning For Unsupervised Domain Adaptation Person Re-Identification

机译：通过相互分歧学习对无监督域适应人员重新识别进行纠正伪标签

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Xu Xu; Liyan Zhang;
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1. A New Deep Learning Method Based on Unsupervised Domain Adaptation and Re-ranking in Person Re-identification [J] . Wang Chunhui, Han Hua, Shang Xiwu, International Journal of Pattern Recognition and Artificial Intelligence . 2020,第13期

机译：基于无监督域适应和重新排名的新的深度学习方法重新识别
2. Learning with noisy labels method for unsupervised domain adaptive person re-identification [J] . Zhu Xiaodi, Li Yanfeng, Sun Jia, Neurocomputing . 2021,第Sepa10期

机译：用嘈杂的域名标签来学习无监督域自适应人员重新识别
3. Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification [J] . Neurocomputing . 2020,第May7期

机译：邻居相似度和软标签自适应，用于无监督的跨数据集人员重新识别
4. Rectifying Pseudo Label By Mutual Disagreement Learning For Unsupervised Domain Adaptation Person Re-Identification [C] . Xu Xu, Liyan Zhang IEEE International Conference on Multimedia and Expo . 2021

机译：通过对无监督域适应人重新识别的相互分歧学习来纠正伪标签
5. Learning Transferable Features for Unsupervised Domain Adaptation in Natural Language Processing [D] . Cui, Xia. 2020

机译：在自然语言处理中学习无监督域适应的可转移功能
6. Stable Median Centre Clustering for Unsupervised Domain Adaptation Person Re-Identification [O] . Jifeng Guo, Wenbo Sun, Zhiqi Pang, 2021

机译：无监督域适应人员重新识别稳定的中位数中心聚类
7. Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling [O] . Fabian Dubourvieux, Romaric Audigier, Angelique Loesch, 2021

机译：通过源引导伪标签重新识别人的无监督域适应

Rectifying Pseudo Label By Mutual Disagreement Learning For Unsupervised Domain Adaptation Person Re-Identification

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