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Towards Learning Affine-Invariant Representations via Data-Efficient
  CNNs

Towards Learning Affine-Invariant Representations via Data-Efficient CNNs

31 August 2019
Xenju Xu
Guanghui Wang
Alan Sullivan
Ziming Zhang
ArXivPDFHTML

Papers citing "Towards Learning Affine-Invariant Representations via Data-Efficient CNNs"

6 / 6 papers shown
Title
OneDConv: Generalized Convolution For Transform-Invariant Representation
OneDConv: Generalized Convolution For Transform-Invariant Representation
Tong Zhang
Haohan Weng
Ke Yi
Cheng Chen
21
0
0
15 Jan 2022
On the Effectiveness of Neural Ensembles for Image Classification with
  Small Datasets
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets
Lorenzo Brigato
Luca Iocchi
UQCV
27
0
0
29 Nov 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image
  Translation
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
Guanghui Wang
38
14
0
21 Oct 2021
Rotation-Invariant Autoencoders for Signals on Spheres
Rotation-Invariant Autoencoders for Signals on Spheres
Suhas Lohit
Shubhendu Trivedi
MDE
22
5
0
08 Dec 2020
Adaptively Denoising Proposal Collection for Weakly Supervised Object
  Localization
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
Dianbo Liu
Yuanwei Wu
Wenchi Ma
Guanghui Wang
28
13
0
04 Oct 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
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