Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks

2 February 2020

Papers citing "Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks"

5 / 5 papers shown

Title
ATPPNet: Attention based Temporal Point cloud Prediction Network Kaustab Pal Aditya Sharma Avinash Sharma K. M. Krishna 3DPC 36 3 0 30 Jan 2024
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information M. Kowal Mennatullah Siam Md. Amirul Islam Neil D. B. Bruce Richard P. Wildes Konstantinos G. Derpanis 23 25 0 06 Jun 2022
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition Sofia Broomé Ernest Pokropek Boyu Li Hedvig Kjellström 21 7 0 22 Dec 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015