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cs.CV2019
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification
Kaiwei Zeng
For most unsupervised person re-identification (re-ID), people often adopt unsupervised domain adaptation (UDA) method. UDA often train on the labeled source dataset and evaluate o…
cs.CV2019
Energy Clustering for Unsupervised Person Re-identification
Kaiwei Zeng
Due to the high cost of data annotation in supervised learning for person re-identification (Re-ID) methods, unsupervised learning becomes more attractive in the real world. The Bo…