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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

22 December 2021
Sofia Broomé
Ernest Pokropek
Boyu Li
Hedvig Kjellström
ArXivPDFHTML

Papers citing "Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition"

3 / 3 papers shown
Title
Overcoming Label Noise for Source-free Unsupervised Video Domain
  Adaptation
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTA
VLM
11
10
0
30 Nov 2023
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
278
1,939
0
09 Feb 2021
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
201
7,816
0
13 Jun 2015
1