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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Hyungtak, Kang, Seongju, Chung, Kwangsue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824481/
https://www.ncbi.nlm.nih.gov/pubmed/36616754
http://dx.doi.org/10.3390/s23010157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824481/
https://www.ncbi.nlm.nih.gov/pubmed/36616754
http://dx.doi.org/10.3390/s23010157

Ejemplares similares