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VA-RED$^2$: Video Adaptive Redundancy Reduction

VA-RED2^22: Video Adaptive Redundancy Reduction

15 February 2021
Bowen Pan
Yikang Shen
Camilo Luciano Fosco
Chung-Ching Lin
A. Andonian
Yue Meng
Kate Saenko
A. Oliva
Rogerio Feris
ArXivPDFHTML

Papers citing "VA-RED$^2$: Video Adaptive Redundancy Reduction"

50 / 57 papers shown
Title
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action
  Recognition
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Yue Meng
Yikang Shen
Chung-Ching Lin
P. Sattigeri
Leonid Karlinsky
Kate Saenko
A. Oliva
Rogerio Feris
106
62
0
10 Feb 2021
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
Yue Meng
Chung-Ching Lin
Yikang Shen
P. Sattigeri
Leonid Karlinsky
A. Oliva
Kate Saenko
Rogerio Feris
32
142
0
31 Jul 2020
Directional Temporal Modeling for Action Recognition
Directional Temporal Modeling for Action Recognition
Xinyu Li
Bing Shuai
Joseph Tighe
19
41
0
21 Jul 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
91
1,009
0
09 Apr 2020
Temporal Pyramid Network for Action Recognition
Temporal Pyramid Network for Action Recognition
Ceyuan Yang
Yinghao Xu
Jianping Shi
Bo Dai
Bolei Zhou
36
369
0
07 Apr 2020
Listen to Look: Action Recognition by Previewing Audio
Listen to Look: Action Recognition by Previewing Audio
Ruohan Gao
Tae-Hyun Oh
Kristen Grauman
Lorenzo Torresani
VLM
52
251
0
10 Dec 2019
More Is Less: Learning Efficient Video Representations by Big-Little
  Network and Depthwise Temporal Aggregation
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan
Chun-Fu Chen
Hilde Kuehne
Marco Pistoia
David D. Cox
43
126
0
02 Dec 2019
You Only Watch Once: A Unified CNN Architecture for Real-Time
  Spatiotemporal Action Localization
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
Okan Kopuklu
Xiangyu Wei
Gerhard Rigoll
54
144
0
15 Nov 2019
Video Modeling with Correlation Networks
Video Modeling with Correlation Networks
Heng Wang
Du Tran
Lorenzo Torresani
Matt Feiszli
45
127
0
07 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
81
17,950
0
28 May 2019
DynamoNet: Dynamic Action and Motion Network
DynamoNet: Dynamic Action and Motion Network
Ali Diba
Vivek Sharma
Luc Van Gool
Rainer Stiefelhagen
57
110
0
25 Apr 2019
SCSampler: Sampling Salient Clips from Video for Efficient Action
  Recognition
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition
Bruno Korbar
Du Tran
Lorenzo Torresani
44
224
0
08 Apr 2019
Video Classification with Channel-Separated Convolutional Networks
Video Classification with Channel-Separated Convolutional Networks
Du Tran
Heng Wang
Lorenzo Torresani
Matt Feiszli
3DV
44
583
0
04 Apr 2019
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
59
549
0
21 Dec 2018
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
139
3,244
0
10 Dec 2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
67
1,865
0
02 Dec 2018
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Zuxuan Wu
Caiming Xiong
Chih-Yao Ma
R. Socher
L. Davis
140
195
0
29 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
57
447
0
21 Nov 2018
TSM: Temporal Shift Module for Efficient Video Understanding
TSM: Temporal Shift Module for Efficient Video Understanding
Ji Lin
Chuang Gan
Song Han
71
1,677
0
20 Nov 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
83
2,995
0
31 Jul 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
159
4,326
0
24 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
30
180
0
29 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
179
499
0
24 Apr 2018
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari
Kamaljeet Singh
Thomas Brox
168
499
0
24 Apr 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
69
33
0
27 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
129
19,124
0
13 Jan 2018
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort
A. Andonian
Bolei Zhou
K. Ramakrishnan
Sarah Adel Bargal
...
L. Brown
Quanfu Fan
Dan Gutfreund
Carl Vondrick
A. Oliva
67
543
0
09 Jan 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in
  Video Classification
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
128
1,317
0
13 Dec 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OOD
GNN
73
384
0
30 Nov 2017
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
179
3,007
0
30 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
102
1,926
0
27 Nov 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
59
628
0
26 Nov 2017
Temporal Relational Reasoning in Videos
Temporal Relational Reasoning in Videos
Bolei Zhou
A. Andonian
Aude Oliva
Antonio Torralba
NAI
73
1,035
0
22 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
79
463
0
22 Nov 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
49
1,126
0
06 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
319
26,241
0
05 Sep 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
105
1,615
0
28 May 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
194
7,961
0
22 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,692
0
17 Apr 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
35
102
0
17 Mar 2017
Spatially Adaptive Computation Time for Residual Networks
Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov
Maxwell D. Collins
Yukun Zhu
Li Zhang
Jonathan Huang
Dmitry Vetrov
Ruslan Salakhutdinov
41
346
0
07 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
323
11,941
0
04 Dec 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
322
1,850
0
18 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
219
8,030
0
13 Aug 2016
Temporal Segment Networks: Towards Good Practices for Deep Action
  Recognition
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
85
3,814
0
02 Aug 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
43
544
0
29 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
End-to-end Learning of Action Detection from Frame Glimpses in Videos
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung
Olga Russakovsky
Greg Mori
Li Fei-Fei
EgoV
55
609
0
22 Nov 2015
Conditional Computation in Neural Networks for faster models
Conditional Computation in Neural Networks for faster models
Emmanuel Bengio
Pierre-Luc Bacon
Joelle Pineau
Doina Precup
AI4CE
88
320
0
19 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
189
8,793
0
01 Oct 2015
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