Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix broken headings in Markdown files #5

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Fix broken headings in Markdown files #5

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Face-Resources
Following is a growing list of some of the materials I found on the web for research on face recognition algorithm.

##Papers
## Papers

1. [DeepFace](https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf).A work from Facebook.
2. [FaceNet](http://www.cv-foundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf).A work from Google.
Expand All @@ -13,7 +13,7 @@ Following is a growing list of some of the materials I found on the web for rese
8. [Face Search at Scale: 80 Million Gallery](http://arxiv.org/abs/1507.07242)
9. [A Discriminative Feature Learning Approach for Deep Face Recognition](http://ydwen.github.io/papers/WenECCV16.pdf)

##Datasets
## Datasets

1. [CASIA WebFace Database](http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html). 10,575 subjects and 494,414 images
2. [Labeled Faces in the Wild](http://vis-www.cs.umass.edu/lfw/).13,000 images and 5749 subjects
Expand All @@ -37,26 +37,26 @@ Following is a growing list of some of the materials I found on the web for rese



##Trained Model
## Trained Model

1. [openface](https://github.com/cmusatyalab/openface). Face recognition with Google's FaceNet deep neural network using Torch.
2. [VGG-Face](http://www.robots.ox.ac.uk/~vgg/software/vgg_face/). VGG-Face CNN descriptor. Impressed embedding loss.
3. [SeetaFace Engine](https://github.com/seetaface/SeetaFaceEngine). SeetaFace Engine is an open source C++ face recognition engine, which can run on CPU with no third-party dependence.
4. [Caffe-face](https://github.com/ydwen/caffe-face) - Caffe Face is developed for face recognition using deep neural networks.

##Tutorial
## Tutorial

1. [Deep Learning for Face Recognition](http://valse.mmcheng.net/deep-learning-for-face-recognition/). Shiguan Shan, Xiaogang Wang, and Ming yang.

##Software
## Software

1. [OpenCV](http://opencv.org/). With some trained face detector models.
2. [dlib](http://dlib.net/ml.html). Dlib implements a state-of-the-art of face Alignment algorithm.
3. [ccv](https://github.com/liuliu/ccv). With a state-of-the-art frontal face detector
4. [libfacedetection](https://github.com/ShiqiYu/libfacedetection). A binary library for face detection in images.
5. [SeetaFaceEngine](https://github.com/seetaface/SeetaFaceEngine). An open source C++ face recognition engine.

##Frameworks
## Frameworks

1. [Caffe](http://caffe.berkeleyvision.org/)
2. [Torch7](https://github.com/torch/torch7)
Expand All @@ -66,7 +66,7 @@ Following is a growing list of some of the materials I found on the web for rese
6. [Tensorflow](https://github.com/tensorflow)
7. [tiny-dnn](https://github.com/tiny-dnn/tiny-dnn)

##Miscellaneous
## Miscellaneous

1. [faceswap](https://github.com/matthewearl/faceswap) Face swapping with Python, dlib, and OpenCV
2. [Facial Keypoints Detection](https://www.kaggle.com/c/facial-keypoints-detection/details/deep-learning-tutorial) Competition on Kaggle.
Expand Down