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Building Deep, Equivariant Capsule Networks
v1v2v3 (latest)

Building Deep, Equivariant Capsule Networks

4 August 2019
Sairaam Venkatraman
S. Balasubramanian
R. R. Sarma
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Building Deep, Equivariant Capsule Networks"

9 / 9 papers shown
Title
Robustcaps: a transformation-robust capsule network for image
  classification
Robustcaps: a transformation-robust capsule network for image classification
Saindhavi Venkataraman
S. Balasubramanian
R. R. Sarma
56
2
0
20 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant
  Convolutional Networks
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez
Teck-Yian Lim
Alex Schwing
Minh Do
Raymond A. Yeh
68
11
0
14 Oct 2022
Learning Compositional Structures for Deep Learning: Why
  Routing-by-agreement is Necessary
Learning Compositional Structures for Deep Learning: Why Routing-by-agreement is Necessary
Sairaam Venkatraman
Ankit Anand
S. Balasubramanian
R. R. Sarma
53
6
0
04 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero
Jean-Baptiste Cordonnier
MDE
163
60
0
02 Oct 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
Alexandru Paul Condurache
ViTAI4CE
114
9
0
30 Jun 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
115
91
0
07 Feb 2020
No Routing Needed Between Capsules
No Routing Needed Between Capsules
Adam Byerly
T. Kalganova
I. Dear
131
67
0
24 Jan 2020
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep
  Capsular Network
TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network
Yanxing Wang
Jianxing Hu
Junyong Lai
Yibo Li
Hongwei Jin
L. Zhang
L. Zhang
Zhenming Liu
MedIm
46
12
0
24 Dec 2019
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in
  Convolutional Neural Networks
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
Adam Byerly
T. Kalganova
65
13
0
20 Jun 2019
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