Cross-view asymmetric metric learning for unsupervised person re-identification

HX Yu, A Wu, WS Zheng - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
While metric learning is important for Person re-identification (RE-ID), a significant problem
in visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID …
被引用次数：392 相关文章

Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification

HX Yu, A Wu, WS Zheng - 2017 IEEE International Conference …, 2017 - ieeexplore.ieee.org
While metric learning is important for Person reidentification (RE-ID), a significant problem in
visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID are …

Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

HX Yu, A Wu, WS Zheng - arXiv preprint arXiv:1708.08062, 2017 - arxiv.org
While metric learning is important for Person re-identification (RE-ID), a significant problem
in visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID …

Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

HX Yu, A Wu, WS Zheng - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
While metric learning is important for Person re-identification (RE-ID), a significant problem
in visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID …
[PDF] kovenyu.com

[PDF][PDF] Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

HX Yu, A Wu, WS Zheng - kovenyu.com
While metric learning is important for Person reidentification (RE-ID), a significant problem in
visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID are …