Revisiting Data Augmentation for Rotational Invariance in Convolutional
Neural Networks

Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks

12 October 2023

Franco Ronchetti

Laura Lanzarini

A. F. Bariviera

Papers citing "Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks"

17 / 17 papers shown

Title
SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification Yuexi Du Jiazhen Zhang Tal Zeevi Nicha Dvornek J. Onofrey 59 1 0 17 Jan 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation Yang Yang Houjian Yu Xibai Lou Yuanhao Liu Changhyun Choi 52 8 0 04 Jan 2025
Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance Julia Briden Trey Gurga Breanna Johnson Abhishek Cauligi Richard Linares 28 0 0 03 Jan 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning Filippo Bigi Marcel F. Langer Michele Ceriotti AI4CE 93 7 0 16 Dec 2024
Accelerating Material Property Prediction using Generically Complete Isometry Invariants Jonathan Balasingham Viktor Zamaraev V. Kurlin 14 5 0 22 Jan 2024
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 21 1 0 14 Nov 2023
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 17 4 0 26 Oct 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks Valentin Delchevalerie Alexandre Mayer Adrien Bibal Benoit Frénay 12 0 0 18 Apr 2023
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation Ning Liu Yue Yu Huaiqian You Neeraj Tatikola AI4CE 21 23 0 29 Dec 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 14 30 0 21 Nov 2022
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions Gao Zhang Jin-Hui Wu Shao-Qun Zhang 16 0 0 27 Oct 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 19 2 0 25 Feb 2022
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 21 3 0 27 Sep 2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure A. Frankel C. Safta Coleman Alleman Reese E. Jones 22 15 0 04 Jun 2021
Attribute-Based Robotic Grasping with One-Grasp Adaptation Yang Yang Yuanhao Liu Hengyue Liang Xibai Lou Changhyun Choi 9 18 0 06 Apr 2021
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code Shivaank Agarwal R. Gudi Paresh Saxena 11 1 0 16 Nov 2020