Towards discriminative representation learning for unsupervised person re-identification
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan, S Wang - ICCV, 2021 - openreview.net
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan… - 2021 IEEE/CVF …, 2021 - computer.org
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
[PDF][PDF] Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan, S Wang - openaccess.thecvf.com
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …
Towards Discriminative Representation Learning for Unsupervised Person Re-identification
T Isobe, D Li, L Tian, W Chen, Y Shan… - arXiv preprint arXiv …, 2021 - arxiv.org
In this work, we address the problem of unsupervised domain adaptation for person re-ID
where annotations are available for the source domain but not for target. Previous methods …
where annotations are available for the source domain but not for target. Previous methods …