Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild

ECCV 2018 Mang YeXiangyuan LanPong C. Yuen

This paper addresses the scalability and robustness issues of estimating labels from imbalanced unlabeled data for unsupervised video-based person re-identification (re-ID). To achieve it, we propose a novel Robust AnChor Embedding (RACE) framework via deep feature representation learning for large-scale unsupervised video re-ID... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Person Re-Identification PRID2011 RACE+ Rank-1 50.6 # 8
Rank-20 91.8 # 8
Rank-5 79.4 # 7

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