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AWESOME_REID.html
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<div class="section" id="cvpr-2019">
<h3>CVPR 2019<a class="headerlink" href="#cvpr-2019" title="Permalink to this headline"></a></h3>
<ul class="simple">
<li>Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. [<a class="reference external" href="https://kovenyu.com/papers/2019_CVPR_PEDAL.pdf">paper</a>] [<a class="reference external" href="https://github.com/QizeYang/PAUL">code</a>]</li>
<li>Joint Discriminative and Generative Learning for Person Re-identification. [<a class="reference external" href="https://arxiv.org/abs/1904.07223">paper</a>][<a class="reference external" href="https://github.com/NVlabs/DG-Net">code</a>]</li>
<li>Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [<a class="reference external" href="https://arxiv.org/abs/1904.01990">paper</a>][<a class="reference external" href="https://github.com/zhunzhong07/ECN">code</a>]</li>
<li>Dissecting Person Re-identification from the Viewpoint of Viewpoint. [<a class="reference external" href="https://arxiv.org/abs/1812.02162">paper</a>][<a class="reference external" href="https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint">code</a>]</li>

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_sources/AWESOME_REID.md.txt
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- **[ArXiv](#arxiv)**
### CVPR 2019
- Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification. [[paper](https://kovenyu.com/papers/2019_CVPR_PEDAL.pdf)] [[code](https://github.com/QizeYang/PAUL)]
- Joint Discriminative and Generative Learning for Person Re-identification. [[paper](https://arxiv.org/abs/1904.07223)][[code](https://github.com/NVlabs/DG-Net)]
- Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [[paper](https://arxiv.org/abs/1904.01990)][[code](https://github.com/zhunzhong07/ECN)]
- Dissecting Person Re-identification from the Viewpoint of Viewpoint. [[paper](https://arxiv.org/abs/1812.02162)][[code](https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint)]