From d5cc74fd0805f67237a1065cd667e05f6b3616d9 Mon Sep 17 00:00:00 2001
From: Jules Laplace <julescarbon@gmail.com>
Date: Thu, 28 Feb 2019 16:07:05 +0100
Subject: comments

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 site/public/research/01_from_1_to_100_pixels/index.html | 3 +++
 1 file changed, 3 insertions(+)

(limited to 'site/public/research/01_from_1_to_100_pixels')

diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html
index 4446e1be..c11e966e 100644
--- a/site/public/research/01_from_1_to_100_pixels/index.html
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@@ -68,6 +68,9 @@
 <li>NIST report on sres states several resolutions</li>
 <li>"Results show that the tested face recognition systems yielded similar performance for query sets with eye-to-eye distance from 60 pixels to 30 pixels" <sup class="footnote-ref" id="fnref-nist_sres"><a href="#fn-nist_sres">1</a></sup></li>
 </ul>
+<ul>
+<li>"Note that we only keep the images with a minimal side length of 80 pixels." and "a face will be labeled as “Ignore” if it is very difficult to be detected due to blurring, severe deformation and unrecognizable eyes, or the side length of its bounding box is less than 32 pixels." Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf </li>
+</ul>
 <div class="footnotes">
 <hr>
 <ol><li id="fn-nist_sres"><p>NIST 906932. Performance Assessment of Face Recognition Using Super-Resolution. Shuowen Hu, Robert Maschal, S. Susan Young, Tsai Hong Hong, Jonathon P. Phillips<a href="#fnref-nist_sres" class="footnote">&#8617;</a></p></li>
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