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Deep Roto-Translation Scattering for Object Classification

Deep Roto-Translation Scattering for Object Classification

30 December 2014
Edouard Oyallon
S. Mallat
ArXivPDFHTML

Papers citing "Deep Roto-Translation Scattering for Object Classification"

22 / 122 papers shown
Title
On the effect of pooling on the geometry of representations
On the effect of pooling on the geometry of representations
Gary Bécigneul
17
2
0
20 Mar 2017
Multiscale Hierarchical Convolutional Networks
Multiscale Hierarchical Convolutional Networks
J. Jacobsen
Edouard Oyallon
S. Mallat
A. Smeulders
18
17
0
12 Mar 2017
Building a Regular Decision Boundary with Deep Networks
Building a Regular Decision Boundary with Deep Networks
Edouard Oyallon
16
29
0
06 Mar 2017
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
29
55
0
01 Mar 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
33
255
0
27 Feb 2017
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal
  Classification
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification
Amarjot Singh
N. Kingsbury
10
13
0
10 Feb 2017
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation
  for Object Classification
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification
Amarjot Singh
N. Kingsbury
33
35
0
10 Feb 2017
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
63
493
0
27 Dec 2016
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
77
700
0
14 Dec 2016
Robust Unsupervised Transient Detection With Invariant Representation
  based on the Scattering Network
Robust Unsupervised Transient Detection With Invariant Representation based on the Scattering Network
Randall Balestriero
B. Aazhang
30
2
0
23 Nov 2016
Discrete Deep Feature Extraction: A Theory and New Architectures
Discrete Deep Feature Extraction: A Theory and New Architectures
Thomas Wiatowski
Michael Tschannen
Aleksandar Stanić
Philipp Grohs
Helmut Bölcskei
FAtt
24
25
0
26 May 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
16
107
0
10 May 2016
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Fractal Dimension Invariant Filtering and Its CNN-based Implementation
Hongteng Xu
Junchi Yan
Nils Persson
Weiyao Lin
H. Zha
15
17
0
19 Mar 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
48
1,900
0
24 Feb 2016
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAtt
AI4CE
23
639
0
19 Jan 2016
Common Variable Learning and Invariant Representation Learning using
  Siamese Neural Networks
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks
Uri Shaham
Roy R. Lederman
SSL
9
3
0
29 Dec 2015
A Mathematical Theory of Deep Convolutional Neural Networks for Feature
  Extraction
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Thomas Wiatowski
Helmut Bölcskei
FAtt
34
362
0
19 Dec 2015
Understanding Adversarial Training: Increasing Local Stability of Neural
  Nets through Robust Optimization
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization
Uri Shaham
Yutaro Yamada
S. Negahban
AAML
27
74
0
17 Nov 2015
Deep Haar Scattering Networks
Deep Haar Scattering Networks
Xiuyuan Cheng
Xu Chen
S. Mallat
26
30
0
30 Sep 2015
A mathematical motivation for complex-valued convolutional networks
A mathematical motivation for complex-valued convolutional networks
Joan Bruna
Soumith Chintala
Yann LeCun
Serkan Piantino
Arthur Szlam
M. Tygert
16
102
0
11 Mar 2015
Quantum Energy Regression using Scattering Transforms
Quantum Energy Regression using Scattering Transforms
M. Hirn
N. Poilvert
S. Mallat
21
31
0
06 Feb 2015
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