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Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization
  for Efficient Video Classification

Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification

1 December 2020
Youngwan Lee
Hyungil Kim
Kimin Yun
Jinyoung Moon
ArXivPDFHTML

Papers citing "Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification"

5 / 5 papers shown
Title
ViGAT: Bottom-up event recognition and explanation in video using
  factorized graph attention network
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network
Nikolaos Gkalelis
Dimitrios Daskalakis
Vasileios Mezaris
16
10
0
20 Jul 2022
VidConv: A modernized 2D ConvNet for Efficient Video Recognition
VidConv: A modernized 2D ConvNet for Efficient Video Recognition
Chuong H. Nguyen
Su Huynh
Vinh Nguyen
Ngoc-Khanh Nguyen
ViT
27
3
0
08 Jul 2022
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural
  Architecture Search
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
Yifan Jiang
Xinyu Gong
Junru Wu
Humphrey Shi
Zhicheng Yan
Zhangyang Wang
VGen
52
1
0
09 Dec 2021
Searching for Two-Stream Models in Multivariate Space for Video
  Recognition
Searching for Two-Stream Models in Multivariate Space for Video Recognition
Xinyu Gong
Heng Wang
Zheng Shou
Matt Feiszli
Zhangyang Wang
Zhicheng Yan
30
9
0
30 Aug 2021
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
280
1,982
0
09 Feb 2021
1