Multi-view similarity aggregation and multi-level gap optimization for unsupervised person re-identification

Tao Liu, Shuli Cheng, Anyu Du

Abstract: Highlights•We propose a multi-view pseudo-label generation scheme.•We have designed a strategy for gap optimization between clusters and samples.•Our approach outperforms most existing methods across various datasets.