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AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

31 July 2020
Yue Meng
Chung-Ching Lin
Yikang Shen
P. Sattigeri
Leonid Karlinsky
A. Oliva
Kate Saenko
Rogerio Feris
ArXiv (abs)PDFHTML

Papers citing "AR-Net: Adaptive Frame Resolution for Efficient Action Recognition"

50 / 53 papers shown
Title
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
106
2
0
13 Mar 2025
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
83
252
0
10 Dec 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video
  Recognition
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Zuxuan Wu
Caiming Xiong
Yu-Gang Jiang
L. Davis
78
109
0
03 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
76
126
0
02 Dec 2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action
  Video Understanding
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Mathew Monfort
Bowen Pan
K. Ramakrishnan
A. Andonian
Barry A. McNamara
A. Lascelles
Quanfu Fan
Dan Gutfreund
Rogerio Feris
A. Oliva
VLM
82
68
0
01 Nov 2019
Tiny Video Networks
Tiny Video Networks
A. Piergiovanni
A. Angelova
Michael S. Ryoo
120
46
0
15 Oct 2019
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective
  Untrimmed Video Recognition
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
Wenhao Wu
Dongliang He
Xiao Tan
Shifeng Chen
Shilei Wen
67
127
0
31 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
142
18,134
0
28 May 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
66
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
72
587
0
04 Apr 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
166
3,274
0
10 Dec 2018
AutoFocus: Efficient Multi-Scale Inference
AutoFocus: Efficient Multi-Scale Inference
Mahyar Najibi
Bharat Singh
L. Davis
ObjD
85
128
0
04 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
180
199
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
86
452
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
98
1,691
0
20 Nov 2018
Training compact deep learning models for video classification using
  circulant matrices
Training compact deep learning models for video classification using circulant matrices
Alexandre Araujo
Benjamin Négrevergne
Y. Chevaleyre
Jamal Atif
41
14
0
02 Oct 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
42
96
0
10 Jul 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
184
19,316
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
92
549
0
09 Jan 2018
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
95
385
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
219
3,030
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
126
1,934
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
101
636
0
26 Nov 2017
Temporal Relational Reasoning in Videos
Temporal Relational Reasoning in Videos
Bolei Zhou
A. Andonian
Aude Oliva
Antonio Torralba
NAI
98
1,039
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
95
466
0
22 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,906
0
21 Nov 2017
Dynamic Zoom-in Network for Fast Object Detection in Large Images
Dynamic Zoom-in Network for Fast Object Detection in Large Images
M. Gao
Ruichi Yu
Ang Li
Vlad I. Morariu
L. Davis
ObjD
73
129
0
14 Nov 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
141
6,872
0
04 Jul 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
235
8,019
0
22 May 2017
The Kinetics Human Action Video Dataset
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
250
3,806
0
19 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
1.2K
20,858
0
17 Apr 2017
Coordinating Filters for Faster Deep Neural Networks
Coordinating Filters for Faster Deep Neural Networks
W. Wen
Cong Xu
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
43
138
0
28 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
50
288
0
25 Mar 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
45
102
0
17 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
477
22,108
0
09 Dec 2016
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
68
348
0
07 Dec 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
105
719
0
07 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
342
5,364
0
03 Nov 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,697
0
31 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
105
3,835
0
02 Aug 2016
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object
  Detection
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
Zhaowei Cai
Quanfu Fan
Rogerio Feris
Nuno Vasconcelos
ObjD
81
1,491
0
25 Jul 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
114
547
0
29 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
153
7,486
0
24 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
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
106
608
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
157
321
0
19 Nov 2015
P-CNN: Pose-based CNN Features for Action Recognition
P-CNN: Pose-based CNN Features for Action Recognition
Guilhem Chéron
Ivan Laptev
Cordelia Schmid
57
612
0
11 Jun 2015
Compressing Neural Networks with the Hashing Trick
Compressing Neural Networks with the Hashing Trick
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
163
1,191
0
19 Apr 2015
Exploiting Feature and Class Relationships in Video Categorization with
  Regularized Deep Neural Networks
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Yu-Gang Jiang
Zuxuan Wu
Jun Wang
Xiangyang Xue
Shih-Fu Chang
81
360
0
25 Feb 2015
Finding Action Tubes
Finding Action Tubes
Georgia Gkioxari
Jitendra Malik
75
599
0
21 Nov 2014
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