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Capsule Network Projectors are Equivariant and Invariant Learners

Capsule Network Projectors are Equivariant and Invariant Learners

23 May 2024
Miles Everett
A. Durrant
Mingjun Zhong
Georgios Leontidis
    SSL
    3DPC
ArXivPDFHTML

Papers citing "Capsule Network Projectors are Equivariant and Invariant Learners"

5 / 5 papers shown
Title
Contrastive Learning Via Equivariant Representation
Contrastive Learning Via Equivariant Representation
Sifan Song
Jinfeng Wang
Qiaochu Zhao
Xiang Li
Dufan Wu
Angelos Stefanidis
Jionglong Su
S. Kevin Zhou
Quanzheng Li
22
1
0
01 Jun 2024
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic
  Parse-Tree Assumption
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Matthias Mitterreiter
Marcel Koch
Joachim Giesen
Soren Laue
3DPC
MedIm
18
13
0
04 Jan 2023
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
112
186
0
02 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
295
5,761
0
29 Apr 2021
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia
Francesco Salvetti
Marcello Chiaberge
3DPC
MedIm
70
174
0
29 Jan 2021
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