Learning to Purification for Unsupervised Person Re-Identification
Learning to Purification for Unsupervised Person Re-Identification
Unsupervised person re-identification is a challenging and promising task in computer vision. Nowadays unsupervised person re-identification methods have achieved great progress by training with pseudo labels. However, how to purify feature and label noise is less explicitly studied in the unsupervised manner. To purify the feature, we take into account …