Data Augmentation with Manifold Exploring Geometric Transformations for
Increased Performance and Robustness

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness

14 January 2019

Magdalini Paschali

Abhijit Guha Roy

Muhammad Ferjad Naeem

Christian Wachinger

Nassir Navab

Papers citing "Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness"

5 / 5 papers shown

Title
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 18 8 0 06 Mar 2022
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 47 801 0 07 May 2021
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks Siqi Liu A. Setio Florin-Cristian Ghesu Eli Gibson Sasa Grbic Bogdan Georgescu Dorin Comaniciu AAML OOD 33 40 0 08 Mar 2020