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<div class="col-md-10 text-center" data-aos="fade-up">
<!-- <h3> The 2nd Learning from Imperfect Data (LID) Workshop</h3>-->
<h1>The 3rd Grand Challenge of 106-Point Facial Landmark Localization</h1>
<h3> ICME 2021</h3>
<h3> July 5 2021, Shenzhen, China</h3>
</div>
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<!-- </div>-->
<!------------------------ leaderboard on final test set ----------------------->
<div class="col-lg-12" id="leaderboard" style="padding-top:80px;margin-top:-80px;">
<div class="section-title">
<h2>leaderboard</h2>
</div>
<!-- <div class="">-->
<!-- <div class="">-->
<table >
<thead>
<tr>
<th align="center"> Rank </th>
<th align="center">Team name</th>
<th align="center">Affiliation</th>
<th width="90px" align="center">AUC*100 <br> (@0.08) </th>
<th width="90px" align="center">Failure rate <br> (@0.08)</th>
<th width="90px" align="center"> NME*100 </th>
<th width="90px" align="center">Model size <br> (MB)</th>
<th align="center">Computational complexity <br> (MFLOPs)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">1</td>
<td align="center">TuringTest</td>
<td align="center">Vision Intelligence Center, Meituan</td>
<td align="center">64.28</td>
<td align="center">0.32%</td>
<td align="center">2.86</td>
<td align="center">1.22</td>
<td align="center">99.99</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">spring is coming</td>
<td align="center">Tencent</td>
<td align="center">62.62</td>
<td align="center">1.38%</td>
<td align="center">3.23</td>
<td align="center">1.75</td>
<td align="center">84.18</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Streamax</td>
<td align="center">Streamax</td>
<td align="center">62.13</td>
<td align="center">0.42%</td>
<td align="center">3.04</td>
<td align="center">1.18</td>
<td align="center">95.88</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">byte iccv face</td>
<td align="center">Bytedance</td>
<td align="center">58.71</td>
<td align="center">0.25%</td>
<td align="center">3.30</td>
<td align="center">1.83</td>
<td align="center">99.89</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">ouou</td>
<td align="center">University of Chinese Academy of Sciences</td>
<td align="center">47.72</td>
<td align="center">17.90%</td>
<td align="center">5.68</td>
<td align="center">1.33</td>
<td align="center">94.53</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">vipl-fan</td>
<td align="center">Institute of Computing Technology, <br> Chinese Academy of Sciences</td>
<td align="center">46.89</td>
<td align="center">23.00%</td>
<td align="center">6.04</td>
<td align="center">1.28</td>
<td align="center">94.53</td>
</tr>
</table>
<br>
<div class="section-title">
<img src="leaderboard/ced_final.jpg">
</div>
</div>
<!-- </div>-->
<!-- </div>-->
</div>
<!---------------- validation/virtual/real table -------------------->
<br><br><br>
<div class="col-lg-12" style="padding-top:80px;margin-top:-80px;">
<div class="section-title">
<h2>detailed results</h2>
</div>
</div>
<table >
<thead>
<tr>
<th width="50px" align="center" rowspan="3">Rank</th>
<th width="140px" align="center" rowspan="2">Team name</th>
<th align="center" rowspan="2">Affiliation</th>
<th width="210px" align="center" colspan="3">AUC*100 (@0.08) </th>
<th width="210px" align="center" colspan="3">Failure rate (@0.08)</th>
<th width="210px" align="center" colspan="3"> NME*100 </th>
<!-- <th width="90px" align="center">Model size <br> (MB)</th>-->
<!-- <th align="center">Computational complexity <br> (MFLOPs)</th>-->
</tr>
<tr>
<td width="70px" align="center" >val</td>
<td width="70px" align="center">virtual</td>
<td width="70px" align="center">real</td>
<td width="70px" align="center" >val</td>
<td width="70px" align="center">virtual</td>
<td width="70px" align="center">real</td>
<td width="70px" align="center" >val</td>
<td width="70px" align="center">virtual</td>
<td width="70px" align="center">real</td>
</tr>
</thead>
<tbody>
<tr>
<td align="center">1</td>
<td align="center">TuringTest</td>
<td align="center">Vision Intelligence Center, Meituan</td>
<td align="center">79.05</td>
<td align="center">78.61</td>
<td align="center">49.95</td>
<td align="center">0.15%</td>
<td align="center">0.05%</td>
<td align="center">0.60%</td>
<td align="center">1.68</td>
<td align="center">1.71</td>
<td align="center">4.01</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">spring is coming</td>
<td align="center">Tencent</td>
<td align="center">78.25</td>
<td align="center">77.48</td>
<td align="center">47.76</td>
<td align="center">0.40%</td>
<td align="center">0.65%</td>
<td align="center">2.10%</td>
<td align="center">1.89</td>
<td align="center">2.25</td>
<td align="center">4.21</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">Streamax</td>
<td align="center">Streamax</td>
<td align="center">75.93</td>
<td align="center">75.97</td>
<td align="center">48.29</td>
<td align="center">0.15%</td>
<td align="center">0.05%</td>
<td align="center">0.80%</td>
<td align="center">1.93</td>
<td align="center">1.93</td>
<td align="center">4.15</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">byte iccv face</td>
<td align="center">Bytedance</td>
<td align="center">72.28</td>
<td align="center">70.71</td>
<td align="center">46.71</td>
<td align="center">0.10%</td>
<td align="center">0.05%</td>
<td align="center">0.45%</td>
<td align="center">2.22</td>
<td align="center">2.34</td>
<td align="center">4.27</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">ouou</td>
<td align="center">University of Chinese Academy of Sciences</td>
<td align="center">71.33</td>
<td align="center">68.45</td>
<td align="center">26.99</td>
<td align="center">2.40%</td>
<td align="center">1.60%</td>
<td align="center">35.24%</td>
<td align="center">1.65</td>
<td align="center">2.65</td>
<td align="center">8.71</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">vipl-fan</td>
<td align="center">Institute of Computing Technology, <br> Chinese Academy of Sciences</td>
<td align="center">74.17</td>
<td align="center">70.88</td>
<td align="center">22.90</td>
<td align="center">0.85%</td>
<td align="center">1.10%</td>
<td align="center">44.90%</td>
<td align="center">2.13</td>
<td align="center">2.42</td>
<td align="center">9.66</td>
</tr>
</table>
<p align="">
<strong class="text-danger" >Note: </strong> 
The table shows the detailed results on the validation set and test set, respectively.
The test set consists of 2000 virtual-masked images and 2000 in-the-wild real-masked images,
which determines the final ranking.
</p>
<div class="section-title">
<!-- <img width="33%" src="leaderboard/6_validation.jpg">-->
<!-- <img width="33%" src="leaderboard/6_virtual.jpg">-->
<!-- <img width="33%" src="leaderboard/6_real.jpg">-->
<img width="49%" src="leaderboard/6_virtual.jpg">
<img width="49%" src="leaderboard/6_real.jpg">
</div>
<br><br><br>
<!------------------------ leaderboard on validation ----------------------->
<div class="col-lg-12" id="leaderboardOnValidation" style="padding-top:80px;margin-top:-80px;">
<div class="section-title">
<h2>On the validation set</h2>
</div>
<h5>Last update: March 31, 2021</h5>
<table width="10%">
<thead>
<tr>
<th align="center"> Rank </th>
<th align="center">Team name</th>
<th align="center">Affiliation</th>
<th width="100px" align="center">AUC*100 <br> (@0.08) </th>
<th width="100px" align="center">Failure rate <br> (@0.08)</th>
<th width="100px" align="center"> NME*100 </th>
</tr>
</thead>
<tr>
<td align="center">1</td>
<td align="center">Streamax</td>
<td align="center">Streamax</td>
<td align="center">80.27</td>
<td align="center">0.05%</td>
<td align="center">1.58</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">face landmark iccv 2021</td>
<td align="center">Bytedance</td>
<td align="center">79.8</td>
<td align="center">0.10%</td>
<td align="center">1.62</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">PIPNet</td>
<td align="center">Inception Institute of Artificial Intelligence</td>
<td align="center">79.75</td>
<td align="center">0.10%</td>
<td align="center">1.62</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">makalo_face</td>
<td align="center">Bytedance</td>
<td align="center">79.38</td>
<td align="center">0.10%</td>
<td align="center">1.65</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">taitaitai</td>
<td align="center">zhihuakeji</td>
<td align="center">79.38</td>
<td align="center">0.15%</td>
<td align="center">1.66</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">TuringTest</td>
<td align="center">Vision Intelligence Center, Meituan</td>
<td align="center">79.06</td>
<td align="center">0.10%</td>
<td align="center">1.68</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">Baocc</td>
<td align="center">University of Science and Technology of China</td>
<td align="center">78.81</td>
<td align="center">0.10%</td>
<td align="center">1.7</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">spring is coming</td>
<td align="center">Tencent</td>
<td align="center">78.57</td>
<td align="center">0.40%</td>
<td align="center">1.85</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">wangc</td>
<td align="center">University of Electronic Science and Technology of China</td>
<td align="center">78.45</td>
<td align="center">0.10%</td>
<td align="center">1.73</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">fly on earth</td>
<td align="center">University of Science and Technology of China</td>
<td align="center">78.26</td>
<td align="center">0.15%</td>
<td align="center">1.75</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">vipl-fan</td>
<td align="center">Institute of Computing Technology, Chinese Academy</td>
<td align="center">77.82</td>
<td align="center">0.10%</td>
<td align="center">1.78</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">dibosca</td>
<td align="center">None</td>
<td align="center">77.66</td>
<td align="center">0.15%</td>
<td align="center">1.79</td>
</tr>
<tr>
<td align="center">13</td>
<td align="center">ouou</td>
<td align="center">University of Chinese Academy of Sciences</td>
<td align="center">77.57</td>
<td align="center">0.50%</td>
<td align="center">1.83</td>
</tr>
<tr>
<td align="center">14</td>
<td align="center">Aruhan</td>
<td align="center">None</td>
<td align="center">77.16</td>
<td align="center">0.25%</td>
<td align="center">1.84</td>
</tr>
<tr>
<td align="center">15</td>
<td align="center">DYMOBILE</td>
<td align="center">ouyue</td>
<td align="center">76.17</td>
<td align="center">0.35%</td>
<td align="center">1.92</td>
</tr>
<tr>
<td align="center">16</td>
<td align="center">Destination</td>
<td align="center">Guilin University Of Electronic Technology</td>
<td align="center">75.98</td>
<td align="center">0.85%</td>
<td align="center">2.25</td>
</tr>
<tr>
<td align="center">17</td>
<td align="center">byte_iccv_face</td>
<td align="center">Bytedance</td>
<td align="center">75.93</td>
<td align="center">0.10%</td>
<td align="center">1.93</td>
</tr>
<tr>
<td align="center">18</td>
<td align="center">Ethan110</td>
<td align="center">xiaoyuanpai</td>
<td align="center">74.36</td>
<td align="center">0.30%</td>
<td align="center">2.06</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">NCST</td>
<td align="center">North China University of Science and Technology</td>
<td align="center">74.06</td>
<td align="center">0.70%</td>
<td align="center">2.13</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">Smiles_XJTU</td>
<td align="center">Xi'an Jiaotong University</td>
<td align="center">70.93</td>
<td align="center">0.60%</td>
<td align="center">2.34</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">good good study</td>
<td align="center">xiaoyuanpai</td>
<td align="center">70.35</td>
<td align="center">0.30%</td>
<td align="center">2.38</td>
</tr>
<tr>
<td align="center">22</td>
<td align="center">CGO</td>
<td align="center">Changzhou University</td>
<td align="center">69.7</td>
<td align="center">1.30%</td>
<td align="center">2.76</td>
</tr>
<tr>
<td align="center">23</td>
<td align="center">akbar_xie</td>
<td align="center">Xiamen University</td>
<td align="center">68.68</td>
<td align="center">1.45%</td>
<td align="center">2.57</td>
</tr>
<tr>
<td align="center">24</td>
<td align="center">nobody</td>
<td align="center">None</td>
<td align="center">61.57</td>
<td align="center">2.0%</td>
<td align="center">3.15</td>
</tr>
<tr>
<td align="center">25</td>
<td align="center">AISOCLAB</td>
<td align="center">National Central University</td>
<td align="center">59.26</td>
<td align="center">3.25%</td>
<td align="center">3.38</td>
</tr>
<tr>
<td align="center">26</td>
<td align="center">A01</td>
<td align="center">None</td>
<td align="center">53.99</td>
<td align="center">8.90%</td>
<td align="center">4.18</td>
</tr>
</tbody>
</table>
<p align="">
<strong class="text-danger" >Note: </strong> 
We didn't constrain the model size and computational complexity in the validation phase.
Click
<a href="https://github.com/MitchellX/fllc3-icme2021.github.io/tree/main/leaderboard">here</a>
to review daily results
</p>
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