Structure alignment of attributes and visual features for cross-dataset person re-identification

•Self-reconstruction structure alignment is proposed for cross-domain person re-identification.•Visual attribute are aligned by class prototype to promote discrimination of predicted attributes.•A self-supervised learning framework is developed to alleviate the domain bias.