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Spatiotemporal Fusion in 3D CNNs: A Probabilistic View

Spatiotemporal Fusion in 3D CNNs: A Probabilistic View

10 April 2020
Yizhou Zhou
Xiaoyan Sun
Chong Luo
Zhengjun Zha
Wenjun Zeng
    3DPC
ArXivPDFHTML

Papers citing "Spatiotemporal Fusion in 3D CNNs: A Probabilistic View"

4 / 4 papers shown
Title
Motion-driven Visual Tempo Learning for Video-based Action Recognition
Motion-driven Visual Tempo Learning for Video-based Action Recognition
Yuanzhong Liu
Junsong Yuan
Zhigang Tu
24
58
0
24 Feb 2022
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari
Kamaljeet Singh
Thomas Brox
142
496
0
24 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1