From 7f62cf367dba4d3c60c6d4bfd97c0a1549fad5e6 Mon Sep 17 00:00:00 2001
From: KaiyangZhou <k.zhou@qmul.ac.uk>
Date: Wed, 24 Jul 2019 15:26:05 +0100
Subject: [PATCH] update docs

---
 AWESOME_REID.html            | 1 -
 _sources/AWESOME_REID.md.txt | 1 -
 2 files changed, 2 deletions(-)

diff --git a/AWESOME_REID.html b/AWESOME_REID.html
index e09fc95..8fbd70b 100644
--- a/AWESOME_REID.html
+++ b/AWESOME_REID.html
@@ -195,7 +195,6 @@
 <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>
diff --git a/_sources/AWESOME_REID.md.txt b/_sources/AWESOME_REID.md.txt
index 650d71c..03bc7dc 100644
--- a/_sources/AWESOME_REID.md.txt
+++ b/_sources/AWESOME_REID.md.txt
@@ -10,7 +10,6 @@ Here is a collection of ReID-related research with links to papers and code. You
 - **[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)]