Created by Biagio Brattoli
Code used in the CVPR 2017 Paper - "LSTM Self-Supervision for Detailed Behavior Analysis" link
Implementation code for training the Permutation LSTM in tensorflow and caffe.
Follow the instruction for the installation of the preferred framework (tensorflow or caffe) and run the script!
The sequences are given in a txt file, one sequence per row and each frame is separated by black space (or tab).
I thank Artsiom Sanakoy for the alexnet implementation in tensorflow and Uta Buechler for updating the network for the LSTM.