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X3D: Expanding Architectures for Efficient Video Recognition

X3D: Expanding Architectures for Efficient Video Recognition

9 April 2020
Christoph Feichtenhofer
ArXivPDFHTML

Papers citing "X3D: Expanding Architectures for Efficient Video Recognition"

43 / 93 papers shown
Title
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Zhaofan Qiu
Ting Yao
Tao Mei
71
1,655
0
28 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
112
1,926
0
27 Nov 2017
Appearance-and-Relation Networks for Video Classification
Appearance-and-Relation Networks for Video Classification
Limin Wang
Wei Li
Wen Li
Luc Van Gool
62
351
0
24 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
218
8,867
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
341
26,241
0
05 Sep 2017
Lattice Long Short-Term Memory for Human Action Recognition
Lattice Long Short-Term Memory for Human Action Recognition
Lin Sun
Kui Jia
Kevin Chen
Dit-Yan Yeung
Bertram E. Shi
Silvio Savarese
48
154
0
13 Aug 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
117
6,830
0
04 Jul 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
94
3,666
0
08 Jun 2017
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual
  Actions
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu
Chen Sun
David A. Ross
Carl Vondrick
C. Pantofaru
...
G. Toderici
Susanna Ricco
Rahul Sukthankar
Cordelia Schmid
Jitendra Malik
VGen
87
1,021
0
23 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
202
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
1.1K
20,747
0
17 Apr 2017
Hidden Two-Stream Convolutional Networks for Action Recognition
Hidden Two-Stream Convolutional Networks for Action Recognition
Yi Zhu
Zhenzhong Lan
Shawn D. Newsam
Alexander G. Hauptmann
26
282
0
02 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
305
27,018
0
20 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
418
21,951
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
435
10,281
0
16 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
91
719
0
07 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
231
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
90
3,814
0
02 Aug 2016
VideoLSTM Convolves, Attends and Flows for Action Recognition
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
77
465
0
06 Jul 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
268
7,951
0
23 May 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
124
2,606
0
22 Apr 2016
Hollywood in Homes: Crowdsourcing Data Collection for Activity
  Understanding
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar Sigurdsson
Gül Varol
Xinyu Wang
Ali Farhadi
Ivan Laptev
Abhinav Gupta
VGen
77
1,238
0
06 Apr 2016
Leaving Some Stones Unturned: Dynamic Feature Prioritization for
  Activity Detection in Streaming Video
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
Yu-Chuan Su
Kristen Grauman
235
30
0
01 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
151
2,344
0
30 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
118
7,448
0
24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
299
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
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
62
608
0
22 Nov 2015
Human Action Recognition using Factorized Spatio-Temporal Convolutional
  Networks
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks
Lin Sun
Kui Jia
Dit-Yan Yeung
Bertram E. Shi
60
532
0
02 Oct 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
99
1,866
0
22 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
412
61,900
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
277
24,976
0
30 Apr 2015
Beyond Short Snippets: Deep Networks for Video Classification
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng
Matthew J. Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
R. Monga
G. Toderici
111
2,334
0
31 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
328
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
121
6,046
0
17 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
333
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
954
99,991
0
04 Sep 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
225
7,518
0
09 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
189
3,414
0
14 May 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
272
43,290
0
01 May 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
385
7,650
0
03 Jul 2012
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