Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All
Networks

v1v2 (latest)

Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks

31 October 2016

Matthew S. Emigh

José C. Príncipe

ArXiv (abs)PDF HTML

Papers citing "Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks"

9 / 9 papers shown

Title
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 177 2,986 0 30 Mar 2016
Spatio-temporal video autoencoder with differentiable memory Viorica Patraucean Ankur Handa R. Cipolla 89 307 0 19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,007 0 13 Jun 2015
Unsupervised Learning of Spatiotemporally Coherent Metrics Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun DRL 102 158 0 18 Dec 2014
Two-Stream Convolutional Networks for Action Recognition in Videos Karen Simonyan Andrew Zisserman 259 7,545 0 09 Jun 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 294 6,285 0 16 Dec 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 169 4,039 0 04 Aug 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 160 6,164 0 03 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 463 7,667 0 03 Jul 2012