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diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html index bbf648cf..5cc9d4ba 100644 --- a/site/public/datasets/msceleb/index.html +++ b/site/public/datasets/msceleb/index.html @@ -268,15 +268,6 @@ </p> <div class="applet" data-payload="{"command": "citations"}"></div> -</section><section> - - <div class="hr-wave-holder"> - <div class="hr-wave-line hr-wave-line1"></div> - <div class="hr-wave-line hr-wave-line2"></div> - </div> - - <h2>Supplementary Information</h2> - </section><section><h3>References</h3><section><ul class="footnotes"><li>1 <a name="[^msceleb_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^msceleb_orig]_1">a</a></span>MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. Accessed April 18, 2019. <a href="http://web.archive.org/web/20190418151913/http://msceleb.org/">http://web.archive.org/web/20190418151913/http://msceleb.org/</a> </li><li>2 <a name="[^madhu_ft]" class="footnote_shim"></a><span class="backlinks"><a href="#[^madhu_ft]_1">a</a></span>Murgia, Madhumita. Microsoft worked with Chinese military university on artificial intelligence. Financial Times. April 10, 2019. </li><li>3 <a name="[^rfw]" class="footnote_shim"></a><span class="backlinks"></span>Wang, Mei; Deng, Weihong; Hu, Jiani; Peng, Jianteng; Tao, Xunqiang; Huang, Yaohai. Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation. 2018. <a href="http://arxiv.org/abs/1812.00194">http://arxiv.org/abs/1812.00194</a> |