VGG Face Descriptor

Omkar M. Parkhi, Andrea Vedaldi, Andrew Zisserman


This page contains the download links for the source code for computing the VGG-Face CNN descriptor, described in [1].

The VGG-Face CNN descriptors are computed using our CNN implementation based on the VGG-Very-Deep-16 CNN architecture as described in [1] and are evaluated on the Labeled Faces in the Wild [2] and the YouTube Faces [3] dataset.

Additionally the code also contains our fast implementation of the DPM Face detector of [3] using the cascade DPM code of [4].




vgg_face_matconvnet.tar.gzFace detection and VGG Face descriptor source code and models (MatConvNet)
vgg_face_torch.tar.gzVGG Face descriptor source code and models (Torch)
vgg_face_caffe.tar.gzVGG Face descriptor source code and models (Caffe)


Relevant Publications


[1] O. M. Parkhi, A. Vedaldi, A. Zisserman
British Machine Vision Conference, 2015

[2] G. B. Huang, M. Ramesh, T. Berg, E. Learned-Miller
Labeled faces in the wild: A database for studying face recognition in unconstrained environments.
Technical Report 07-49, University of Massachusetts, Amherst, 2007.

[3] L. Wolf, T. Hassner, I. Maoz
Face Recognition in Unconstrained Videos with Matched Background Similarity.
Computer Vision and Pattern Recognition (CVPR), 2011.

[4] M. Mathias, R. Benenson, M. Pedersoli, L. Van Gool
Face detection without bells and whistles.
European Conference on Computer Vision, 2014.

[5] P. Felzenszwalb, R. Girshick, D. McAllester
Cascade Object Detection with Deformable Part Models.
Computer Vision and Pattern Recognition (CVPR), 2010.