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Interpretable Deep Feature Propagation for Early Action Recognition

Interpretable Deep Feature Propagation for Early Action Recognition

11 July 2021
He Zhao
Richard P. Wildes
    FAtt
ArXivPDFHTML

Papers citing "Interpretable Deep Feature Propagation for Early Action Recognition"

3 / 3 papers shown
Title
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying
  Static vs. Dynamic Information
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
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
91
289
0
03 Mar 2020
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
236
7,906
0
13 Jun 2015
1