/FASNet

CNN archictecture for face anti-spoofing

Primary LanguageJupyter NotebookMIT LicenseMIT

FASNet

The face anti-spoofing network (FASNet) is CNN archictecture based on Keras Example https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html

VGG-16 weights: https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3

Paper Accepted at 14th International Conference on Image Analysis and Recognition (ICIAR 2017): "Transfer Learning Using Convolutional Neural Networks for Face Anti-Spoofing".

Please cite this work using information provided here: https://link.springer.com/chapter/10.1007%2F978-3-319-59876-5_4

@Inbook{Lucena2017, author="Lucena, Oeslle and Junior, Amadeu and Moia, Vitor and Souza, Roberto and Valle, Eduardo and Lotufo, Roberto", editor="Karray, Fakhri and Campilho, Aur{'e}lio and Cheriet, Farida", title="Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing", bookTitle="Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5--7, 2017, Proceedings", year="2017", publisher="Springer International Publishing", address="Cham", pages="27--34", isbn="978-3-319-59876-5", doi="10.1007/978-3-319-59876-5_4", url="http://dx.doi.org/10.1007/978-3-319-59876-5_4" }