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@@ -5,12 +5,12 @@ Following is a growing list of some of the materials I found on the web for rese
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1. [DeepFace](https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf).A work from Facebook.
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2. [FaceNet](http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf).A work from Google.
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3. [ One Millisecond Face Alignment with an Ensemble of Regression Trees]([http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf](http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf)). Dlib implements the algorithm.
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4. [DeepID]([http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf](http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf))
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5. [DeepID2]([http://arxiv.org/abs/1406.4773](http://arxiv.org/abs/1406.4773))
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6. [DeepID3]([http://arxiv.org/abs/1502.00873](http://arxiv.org/abs/1502.00873))
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7. [Learning Face Representation from Scratch]([http://arxiv.org/abs/1411.7923](http://arxiv.org/abs/1411.7923))
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8. [Face Search at Scale: 80 Million Gallery]([http://arxiv.org/abs/1507.07242](http://arxiv.org/abs/1507.07242))
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3. [ One Millisecond Face Alignment with an Ensemble of Regression Trees]([http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf](http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf). Dlib implements the algorithm.
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4. [DeepID]([http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf](http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf)
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5. [DeepID2]([http://arxiv.org/abs/1406.4773](http://arxiv.org/abs/1406.4773)
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6. [DeepID3]([http://arxiv.org/abs/1502.00873](http://arxiv.org/abs/1502.00873)
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7. [Learning Face Representation from Scratch]([http://arxiv.org/abs/1411.7923](http://arxiv.org/abs/1411.7923)
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8. [Face Search at Scale: 80 Million Gallery]([http://arxiv.org/abs/1507.07242](http://arxiv.org/abs/1507.07242)
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##Datasets
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