A survey on Image Data Augmentation for Deep Learning

This survey will present existing methods for Data Augmentation, promising developments, and meta-level decisions for implementing Data Augmentation.

[2204.08610] Image Data Augmentation for Deep Learning: A Survey

As an effective way to improve the sufficiency and diversity of training data, data augmentation has become a necessary part of successful ...

(PDF) A survey on Image Data Augmentation for Deep Learning

This survey will present existing methods for Data Augmentation, promising developments, and meta-level decisions for implementing Data Augmentation.

A survey on Image Data Augmentation for Deep Learning

This survey will present existing methods for Data Augmentation, promising developments, and meta-level decisions for implementing DataAugmentation, ...

A Comprehensive Survey of Image Augmentation Techniques for ...

With an increase in parameters, a deep learning model may remember specific data points with an insufficient number of training images, which introduces a ...

[PDF] Image Data Augmentation for Deep Learning: A Survey

A taxonomy of reviewed methods is proposed and the strengths and limitations of these methods are presented and conducted on three typical computer vision ...

Shorten, C. and Khoshgoftaar, T.M. (2019) A Survey on Image Data ...

Shorten, C. and Khoshgoftaar, T.M. (2019) A Survey on Image Data Augmentation for Deep Learning. Journal of Big Data, 6, Article No. 60.

A survey on Image Data Augmentation for Deep Learning - Typeset.io

This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance ...

A survey on Image Data Augmentation for Deep Learning - DOAJ

This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance ...

(PDF) Image Data Augmentation for Deep Learning: A Survey

In this paper, we systematically review different image data augmentation methods. We propose a taxonomy of reviewed methods and present the strengths and ...

Image Data Augmentation Approaches: A Comprehensive Survey ...

Deep learning (DL) algorithms have shown significant performance in various computer vision tasks. However, having limited labelled data lead to ...

A Survey of Automated Data Augmentation for Image Classification

Data augmentation is an effective way to improve the generalization of deep learning models. However, the underlying augmentation methods ...

Data augmentation: A comprehensive survey of modern approaches

Consequently, a number of works employ multiple deep neural network branches within an end-to-end deep learning framework for image transformation in the ...

A survey on Image Data Augmentation for Deep Learning

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

A Survey on Data Augmentation Techniques - IEEE Xplore

According to an experiment, deep learning model performs better by reducing the training loss and validation loss than a model without augmentation for image ...

A survey on image data augmentation for deep learning - BibSonomy

The blue social bookmark and publication sharing system.

Data Augmentation in Classification and Segmentation: A Survey ...

In the past decade, deep neural networks, particularly convolutional neural networks, have revolutionised computer vision. However, all deep learning models ...

A survey on Image Data Augmentation for Deep Learning - OpenAlex

Abstract: Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on ...

A survey of automated data augmentation algorithms for deep ...

In particular, deep learning models have been successfully applied to image classification tasks in diverse areas from medical imaging [5, 6] to ...

A Comprehensive Survey of Image Augmentation Techniques for ...

Nitschke, Improving deep learning with generic data augmentation, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2018, pp. 1542–1547.