Sep 26, 2022 · This paper proposes an unsupervised cross-domain person re-identification method based on attention block and refined clustering.

To solve these problems, this paper proposes an unsupervised cross-domain person re-identification method based on attention block and refined clustering.

Oct 11, 2022 · To solve these problems, this paper proposes an unsupervised cross-domain person re- identification method based on attention block and refined ...

An unsupervised cross-domain person re-identification method based on attention block and refined clustering to achieve a coarse-to-fine clustering process ...

Most unsupervised cross-domain person re-identification methods based on clustering suffer from a lack of feature discrimination and clustering generates ...

In this work, we tackle the problems by designing an effective dual-path mutual-learning framework which can capture effective information for better feature ...

We presented a novel HUDA person re-id model for more discriminative domain adaptation from a labelled source domain to an unlabelled target domain.

In this paper, we learn the invariance model of cross-domain feature fusion in a labeled source domain and an unlabeled target domain.

In this paper, we design an unsupervised person-re-identification framework called attention-guided fine-grained feature network and symmetric contrast ...

An unsupervised cross-domain person re-identification method based on attention block and refined clustering to achieve a coarse-to-fine clustering process ...