6 citations · 21 across the 13 of their papers we have counts for
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cs.CV2021★ 1 cited
Unsupervised Clustering Active Learning for Person Re-identification
Wenjing Gao, Minxian Li
Supervised person re-identification (re-id) approaches require a large amount of pairwise manual labeled data, which is not applicable in most real-world scenarios for re-id deploy…
cs.CV2021★ 1 cited
Unsupervised Noisy Tracklet Person Re-identification
Minxian Li, Xiatian Zhu, Shaogang Gong
Existing person re-identification (re-id) methods mostly rely on supervised model learning from a large set of person identity labelled training data per domain. This limits their…