Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)

Defects are the primary problem affecting steel product quality in the steel industry. The specific challenges in developing detect defectors involve the vagueness and tiny size of defects. To solve these problems, we propose incorporating super-resolution technique, sequential feature pyramid netwo...

Descripción completa

Detalles Bibliográficos
Autores principales: Akhyar, Fityanul, Furqon, Elvin Nur, Lin, Chih-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185267/
https://www.ncbi.nlm.nih.gov/pubmed/35684877
http://dx.doi.org/10.3390/s22114257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185267/
https://www.ncbi.nlm.nih.gov/pubmed/35684877
http://dx.doi.org/10.3390/s22114257

Ejemplares similares