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Learning Invariant Representations for Equivariant Neural Networks Using
  Orthogonal Moments

Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments

22 September 2022
Jaspreet Singh
Chandan Singh
ArXivPDFHTML

Papers citing "Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments"

3 / 3 papers shown
Title
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Few-shot Shape Recognition by Learning Deep Shape-aware Features
Wenlong Shi
Changsheng Lu
Ming Shao
Yinjie Zhang
Si-Yu Xia
Piotr Koniusz
48
2
0
03 Dec 2023
H-NeXt: The next step towards roto-translation invariant networks
H-NeXt: The next step towards roto-translation invariant networks
Tomáš Karella
F. Šroubek
J. Flusser
Jan Blazek
Vasek Kosik
29
1
0
02 Nov 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle
  Data Manifold
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
Pourya Shamsolmoali
Masoumeh Zareapoor
33
1
0
24 Jul 2023
1