ResearchTrend.AI
Quantifying Translation-Invariance in Convolutional Neural Networks

Quantifying Translation-Invariance in Convolutional Neural Networks

Eric Kauderer-Abrams
ArXivPDFHTML

Papers citing "Quantifying Translation-Invariance in Convolutional Neural Networks"

5 / 5 papers shown
Title
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
292
7,361
0
05 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Understanding image representations by measuring their equivariance and equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSL
FAtt
87
528
0
21 Nov 2014
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
102
1,272
0
05 Mar 2012
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
114
986
0
12 Jan 2011