# A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comprehensive-survey-of-image-augmentation-techniques-for-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mingle Xu,Sook Yoon,Alvaro Fuentes,Dong Sun Park |
| Citations | 602 |
| DOI | 10.1016/j.patcog.2023.109347 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.patcog.2023.109347 |
| OpenAlex ID | https://openalex.org/W4320525814 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Sook Yoon](https://scholariq.org/researchers/sook-yoon/)
- [Alvaro Fuentes](https://scholariq.org/researchers/alvaro-fuentes/)
- [Dong Sun Park](https://scholariq.org/researchers/dong-sun-park/)

## Paper primary topic

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Paper topics

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.