[PDF] Image Data Augmentation for Deep Learning

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

Deep learning has achieved remarkable results in many computer vision tasks. Deep neural networks typically rely on large amounts of training ...

A survey on Image Data Augmentation for Deep Learning

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

(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.

[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 ...

(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 ...

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 ...

View PDFView articleView in Scopus Google Scholar. [2]. M. Xu, S. Yoon, A ... A survey on image data augmentation for deep learning. J. Big Data, 6 (1) ...

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 ...

Data augmentation for improving deep learning in image ...

These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, ...

Data augmentation for deep learning based accelerated MRI ...

Abstract. Deep neural networks have emerged as very suc- cessful tools for image restoration and reconstruc- tion tasks. These networks are often trained ...

Data-Efficient Augmentation for Training Neural Networks

Data augmentation is essential to achieve state-of-the-art performance in many deep learning applications. However, the most effective augmentation ...

The Effectiveness of Data Augmentation in Image Classification ...

Augmenting data via a neural net is achieved by concate- nating two images of the same class to create an input of 6 channels deep (2 if gray scale). The goal ...

A Deep Learning Image Data Augmentation Method for Single ...

This paper proposed a novel data augmentation method, which used regional tumors to generate similar whole tumor images. When using a deep learning segmentation ...

Explanation-based Data Augmentation for Image Classification

Data augmentation is a widely used pre-processing step in training deep neural networks. The objective is to inflate the training dataset with label preserving ...

Image data augmentation techniques based on deep learning

Special Issue: Deep visual & pattern data analytics and recognition for smart Life. Abstract; Full Text(HTML). Download PDF. Download PDF. In recent years, deep ...

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

DOI: 10.1186/S40537-019-0197-0) Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are ...

Data augmentation for deep learning based accelerated MRI ...

... Machine Learning, PMLR 139:3057-3067, 2021. Abstract. Deep neural networks have emerged as very successful tools for image restoration and reconstruction tasks.

Data Augmentations for Document Images - CEUR-WS

Data augmentation has the potential to significantly improve the generalization capability of deep neural networks. Espe- cially in image recognition, recent ...

Post-training Iterative Hierarchical Data Augmentation for Deep ...

Finally, to demonstrate its domain-agnostic properties, we show the significant improvements that IHDA provided for a deep neural network on a non-image.

Time Series Data Augmentation for Deep Learning: A Survey - IJCAI

Unlike image data, the time series data can be transformed into the frequency and time-frequency domains and effective data augmentation methods can be designed ...