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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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Autores principales: Hyungtak Lee, Seongju Kang, Kwangsue Chung
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2022-12-01
Colección:Sensors
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Acceso en línea:https://www.mdpi.com/1424-8220/23/1/157
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