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AWESOME_REID.html
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<ul class="current"> <ul class="current">
<li class="toctree-l1 current"><a class="current reference internal" href="#">Awesome-ReID</a><ul> <li class="toctree-l1 current"><a class="current reference internal" href="#">Awesome-ReID</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#conferences">Conferences</a><ul> <li class="toctree-l2"><a class="reference internal" href="#conferences">Conferences</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#iccv-2019">ICCV 2019</a></li>
<li class="toctree-l3"><a class="reference internal" href="#cvpr-2019">CVPR 2019</a></li> <li class="toctree-l3"><a class="reference internal" href="#cvpr-2019">CVPR 2019</a></li>
<li class="toctree-l3"><a class="reference internal" href="#aaai-2019">AAAI 2019</a></li> <li class="toctree-l3"><a class="reference internal" href="#aaai-2019">AAAI 2019</a></li>
<li class="toctree-l3"><a class="reference internal" href="#neurips-2018">NeurIPS 2018</a></li> <li class="toctree-l3"><a class="reference internal" href="#neurips-2018">NeurIPS 2018</a></li>
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<div class="section" id="conferences"> <div class="section" id="conferences">
<h2>Conferences<a class="headerlink" href="#conferences" title="Permalink to this headline"></a></h2> <h2>Conferences<a class="headerlink" href="#conferences" title="Permalink to this headline"></a></h2>
<ul class="simple"> <ul class="simple">
<li><strong><a class="reference external" href="#iccv-2019">ICCV 2019</a></strong></li>
<li><strong><a class="reference external" href="#cvpr-2019">CVPR 2019</a></strong></li> <li><strong><a class="reference external" href="#cvpr-2019">CVPR 2019</a></strong></li>
<li><strong><a class="reference external" href="#aaai-2019">AAAI 2019</a></strong></li> <li><strong><a class="reference external" href="#aaai-2019">AAAI 2019</a></strong></li>
<li><strong><a class="reference external" href="#neurips-2018">NeurIPS 2018</a></strong></li> <li><strong><a class="reference external" href="#neurips-2018">NeurIPS 2018</a></strong></li>
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<li><strong><a class="reference external" href="#cvpr-2018">CVPR 2018</a></strong></li> <li><strong><a class="reference external" href="#cvpr-2018">CVPR 2018</a></strong></li>
<li><strong><a class="reference external" href="#arxiv">ArXiv</a></strong></li> <li><strong><a class="reference external" href="#arxiv">ArXiv</a></strong></li>
</ul> </ul>
<div class="section" id="iccv-2019">
<h3>ICCV 2019<a class="headerlink" href="#iccv-2019" title="Permalink to this headline"></a></h3>
<ul class="simple">
<li>ABD-Net: Attentive but Diverse Person Re-Identification. [<a class="reference external" href="https://arxiv.org/abs/1908.01114">paper</a>] [<a class="reference external" href="https://github.com/TAMU-VITA/ABD-Net">code</a>]</li>
<li>Omni-Scale Feature Learning for Person Re-Identification
. [<a class="reference external" href="https://arxiv.org/abs/1905.00953">paper</a>] [<a class="reference external" href="https://github.com/KaiyangZhou/deep-person-reid">code</a>]</li>
</ul>
</div>
<div class="section" id="cvpr-2019"> <div class="section" id="cvpr-2019">
<h3>CVPR 2019<a class="headerlink" href="#cvpr-2019" title="Permalink to this headline"></a></h3> <h3>CVPR 2019<a class="headerlink" href="#cvpr-2019" title="Permalink to this headline"></a></h3>
<ul class="simple"> <ul class="simple">

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_sources/AWESOME_REID.md.txt
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Here is a collection of ReID-related research with links to papers and code. You are welcome to submit [PR](https://help.github.com/articles/creating-a-pull-request/)s if you find something missing. Here is a collection of ReID-related research with links to papers and code. You are welcome to submit [PR](https://help.github.com/articles/creating-a-pull-request/)s if you find something missing.
## Conferences ## Conferences
- **[ICCV 2019](#iccv-2019)**
- **[CVPR 2019](#cvpr-2019)** - **[CVPR 2019](#cvpr-2019)**
- **[AAAI 2019](#aaai-2019)** - **[AAAI 2019](#aaai-2019)**
- **[NeurIPS 2018](#neurips-2018)** - **[NeurIPS 2018](#neurips-2018)**
@ -9,6 +10,13 @@ Here is a collection of ReID-related research with links to papers and code. You
- **[CVPR 2018](#cvpr-2018)** - **[CVPR 2018](#cvpr-2018)**
- **[ArXiv](#arxiv)** - **[ArXiv](#arxiv)**
### ICCV 2019
- ABD-Net: Attentive but Diverse Person Re-Identification. [[paper](https://arxiv.org/abs/1908.01114)] [[code](https://github.com/TAMU-VITA/ABD-Net)]
- Omni-Scale Feature Learning for Person Re-Identification
. [[paper](https://arxiv.org/abs/1905.00953)] [[code](https://github.com/KaiyangZhou/deep-person-reid)]
### CVPR 2019 ### CVPR 2019
- Joint Discriminative and Generative Learning for Person Re-identification. [[paper](https://arxiv.org/abs/1904.07223)][[code](https://github.com/NVlabs/DG-Net)] - 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)] - Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. [[paper](https://arxiv.org/abs/1904.01990)][[code](https://github.com/zhunzhong07/ECN)]

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