A Temporal 3D for action recognition in videos
This code is written in keras for transfer learning as described in the paper.
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification,
Ali Diba*,
Mohsen Fayyaz*,
Vivek Sharma,
Amir Hossein Karami,
Mohammad Mahdi Arzani,
Rahman Yousefzadeh,
Luc Van Gool
Original code for this paper is written in PyTorch, here
@ARTICLE{2017arXiv171108200D,
author = {{Diba}, A. and {Fayyaz}, M. and {Sharma}, V. and {Karami}, A.~H. and
{Mahdi Arzani}, M. and {Yousefzadeh}, R. and {Van Gool}, L.},
title = "{Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1711.08200},
primaryClass = "cs.CV",
keywords = {Computer Science - Computer Vision and Pattern Recognition},
year = 2017,
month = nov,
adsurl = {http://adsabs.harvard.edu/abs/2017arXiv171108200D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
UCF50 video dataset was used
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