Robust Data Augmentation Generative Adversarial Network for Object Detection

Robust Data Augmentation Generative Adversarial Network for Object Detection

Generative adversarial network (GAN)-based data augmentation is used to enhance the performance of object detection models. It comprises two stages: training the GAN generator to learn the distribution of a small target dataset, and sampling data from the trained generator to enhance model performan...

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Bibliographic Details
Main Authors: Hyungtak Lee, Seongju Kang, Kwangsue Chung
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
generative adversarial network
data augmentation
object detection
image-to-image translation
disentangled representation learning
Online Access:https://www.mdpi.com/1424-8220/23/1/157

Internet

https://www.mdpi.com/1424-8220/23/1/157

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