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| author | Jules Laplace <julescarbon@gmail.com> | 2019-05-03 15:14:31 +0200 |
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| committer | Jules Laplace <julescarbon@gmail.com> | 2019-05-03 15:14:31 +0200 |
| commit | f7b1c28108143eaf99df37c2bb5d8e711733b40e (patch) | |
| tree | e6044852990141dd2302919a2e1401ac70c50702 /site/public/research/01_from_1_to_100_pixels | |
| parent | 5d61d4c7122c936f470dfeab5a9802f4708aec7f (diff) | |
| parent | bee8715f5cbdfe40211b1b45426590f235176926 (diff) | |
Merge branch 'master' of github.com:adamhrv/megapixels_dev
Diffstat (limited to 'site/public/research/01_from_1_to_100_pixels')
| -rw-r--r-- | site/public/research/01_from_1_to_100_pixels/index.html | 4 |
1 files changed, 4 insertions, 0 deletions
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 7b86f5ef..cc9d3f94 100644 --- a/site/public/research/01_from_1_to_100_pixels/index.html +++ b/site/public/research/01_from_1_to_100_pixels/index.html @@ -92,6 +92,10 @@ <li>100x100 all you need for medical diagnosis</li> <li>100x100 0.5% of one Instagram photo</li> </ul> +<p>Notes:</p> +<ul> +<li>Google FaceNet used images with (face?) sizes: Input sizes range from 96x96 pixels to 224x224pixels in our experiments. FaceNet: A Unified Embedding for Face Recognition and Clustering <a href="https://arxiv.org/pdf/1503.03832.pdf">https://arxiv.org/pdf/1503.03832.pdf</a></li> +</ul> <p>Ideas:</p> <ul> <li>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</li> |