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Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Most of the existing person re-identification (re-ID) methods achieve promising accuracy in a supervised manner, but they assume the identity labels of the target domain is available. This greatly limits the scalability of person re-ID in real-world scenarios. Therefore, the current person re-ID community focuses on the cross-domain person re-ID that aims to transfer the knowledge from a labeled source domain to an unlabeled target domain and exploits the specific knowledge from the data
doi:10.1109/cvpr42600.2020.01058
dblp:conf/cvpr/WangLLW20
fatcat:z37bb6thefgkrfbrsapsyzbjfu