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 <div class="section" id="what-s-new">
 <h2>What’s new<a class="headerlink" href="#what-s-new" title="Permalink to this headline">¶</a></h2>
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+<li><p>[Mar 2021] Generalization across domains (datasets) in person re-ID is crucial in real-world applications, which is closely related to the topic of <em>domain generalization</em>. Interested in learning how the field of domain generalization has developed over the last decade? Check our recent survey in this topic at <a class="reference external" href="https://arxiv.org/abs/2103.02503">https://arxiv.org/abs/2103.02503</a>, with coverage on the history, datasets, related problems, methodologies, potential directions, and so on (<em>methods designed for generalizable re-ID are also covered</em>!).</p></li>
 <li><p>[Feb 2021] <code class="docutils literal notranslate"><span class="pre">v1.3.6</span></code> Added <a class="reference external" href="https://dl.acm.org/doi/abs/10.1145/3394171.3413896">University-1652</a>, a new dataset for multi-view multi-source geo-localization (credit to <a class="reference external" href="https://github.com/layumi">Zhedong Zheng</a>).</p></li>
 <li><p>[Feb 2021] <code class="docutils literal notranslate"><span class="pre">v1.3.5</span></code>: Now the <a class="reference external" href="https://github.com/KaiyangZhou/deep-person-reid/pull/412">cython code</a> works on Windows (credit to <a class="reference external" href="https://github.com/lablabla">lablabla</a>).</p></li>
 <li><p>[Jan 2021] Our recent work, <a class="reference external" href="https://openreview.net/forum?id=6xHJ37MVxxp">MixStyle</a> (mixing instance-level feature statistics of samples of different domains for improving domain generalization), has been accepted to ICLR’21. The code has been released at <a class="reference external" href="https://github.com/KaiyangZhou/mixstyle-release">https://github.com/KaiyangZhou/mixstyle-release</a> where the person re-ID part is based on Torchreid.</p></li>