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

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

2 February 2020
Joonatan Mänttäri
Sofia Broomé
John Folkesson
Hedvig Kjellström
    FAtt
ArXivPDFHTML

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

4 / 4 papers shown
Title
ATPPNet: Attention based Temporal Point cloud Prediction Network
ATPPNet: Attention based Temporal Point cloud Prediction Network
Kaustab Pal
Aditya Sharma
Avinash Sharma
K. M. Krishna
3DPC
28
3
0
30 Jan 2024
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for
  Cross-Domain Robustness in Action Recognition
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
Sofia Broomé
Ernest Pokropek
Boyu Li
Hedvig Kjellström
13
7
0
22 Dec 2021
Methods for Interpreting and Understanding Deep Neural Networks
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
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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