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Harmonic Convolutional Networks based on Discrete Cosine Transform

Harmonic Convolutional Networks based on Discrete Cosine Transform

18 January 2020
Matej Ulicny
V. Krylov
Rozenn Dahyot
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Papers citing "Harmonic Convolutional Networks based on Discrete Cosine Transform"

46 / 46 papers shown
Title
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
175
21,051
0
25 Mar 2021
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
74
2,845
0
17 Jun 2019
BasisConv: A method for compressed representation and learning in CNNs
BasisConv: A method for compressed representation and learning in CNNs
M. Tayyab
Abhijit Mahalanobis
3DPC
SSL
24
6
0
11 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
34
17,950
0
28 May 2019
Harmonic Networks with Limited Training Samples
Harmonic Networks with Limited Training Samples
Matej Ulicny
V. Krylov
Rozenn Dahyot
35
17
0
30 Apr 2019
Hybrid Task Cascade for Instance Segmentation
Hybrid Task Cascade for Instance Segmentation
Kai-xiang Chen
Jiangmiao Pang
Jiaqi Wang
Yu Xiong
Xiaoxiao Li
...
Ziwei Liu
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
ISeg
90
1,295
0
22 Jan 2019
Compressing the Input for CNNs with the First-Order Scattering Transform
Compressing the Input for CNNs with the First-Order Scattering Transform
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
Michal Valko
26
25
0
27 Sep 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
29
85
0
17 Sep 2018
Wavelet based edge feature enhancement for convolutional neural networks
Wavelet based edge feature enhancement for convolutional neural networks
Dedimuni D. De Silva
Subha Fernando
I. Piyatilake
A. Karunarathne
50
16
0
29 Aug 2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
Qiang Qiu
Xiuyuan Cheng
Robert Calderbank
Guillermo Sapiro
43
69
0
12 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
115
3,009
0
05 Feb 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
90
4,885
0
03 Dec 2017
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
52
1,986
0
02 Dec 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
253
26,241
0
05 Sep 2017
Efficient Convolutional Network Learning using Parametric Log based
  Dual-Tree Wavelet ScatterNet
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet
Amarjot Singh
N. Kingsbury
29
26
0
30 Aug 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
59
3,614
0
16 Aug 2017
Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural
  Networks
Aligned and Non-Aligned Double JPEG Detection Using Convolutional Neural Networks
Mauro Barni
Luca Bondi
Nicolo Bonettini
Paolo Bestagini
Andrea Costanzo
Marco Maggini
B. Tondi
Stefano Tubaro
31
183
0
02 Aug 2017
Wavelet Convolutional Neural Networks for Texture Classification
Wavelet Convolutional Neural Networks for Texture Classification
S. Fujieda
Kohei Takayama
T. Hachisuka
18
110
0
24 Jul 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
121
5,577
0
21 Jul 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
63
828
0
06 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
121
8,425
0
17 Jun 2017
Localization of JPEG double compression through multi-domain
  convolutional neural networks
Localization of JPEG double compression through multi-domain convolutional neural networks
Irene Amerini
Tiberio Uricchio
Lamberto Ballan
R. Caldelli
AAML
47
127
0
06 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks
Dynamic Steerable Blocks in Deep Residual Networks
J. Jacobsen
Bert de Brabandere
A. Smeulders
31
28
0
02 Jun 2017
Gabor Convolutional Networks
Gabor Convolutional Networks
Shangzhen Luan
Baochang Zhang
Chen Chen
Xianbin Cao
Jiawei Han
Jianzhuang Liu
BDL
68
341
0
03 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
224
27,018
0
20 Mar 2017
Harmonic Networks: Deep Translation and Rotation Equivariance
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
91
705
0
14 Dec 2016
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
364
21,951
0
09 Dec 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
47
259
0
17 Nov 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
383
10,281
0
16 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
175
8,030
0
13 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
178
7,951
0
23 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
25
107
0
10 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
91
2,344
0
30 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
786
192,638
0
10 Dec 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
141
8,793
0
01 Oct 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural Networks
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
33
139
0
14 Jun 2015
Spectral Representations for Convolutional Neural Networks
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
38
328
0
11 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
319
61,900
0
04 Jun 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
73
3,479
0
24 Apr 2015
Deep Clustered Convolutional Kernels
Deep Clustered Convolutional Kernels
Minyoung Kim
Luca Rigazio
50
18
0
06 Mar 2015
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
39
230
0
30 Dec 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
187
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
499
99,991
0
04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
105
1,458
0
15 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
116
43,290
0
01 May 2014
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
48
1,272
0
05 Mar 2012
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