Compression Helps Deep Learning in Image Classification

The impact of JPEG compression on deep learning (DL) in image classification is revisited. Given an underlying deep neural network (DNN) pre-trained with pristine ImageNet images, it is demonstrated that, if, for any original image, one can select, among its many JPEG compressed versions including i...

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Detalles Bibliográficos
Autores principales: Yang, En-Hui, Amer, Hossam, Jiang, Yanbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304067/
https://www.ncbi.nlm.nih.gov/pubmed/34356422
http://dx.doi.org/10.3390/e23070881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304067/
https://www.ncbi.nlm.nih.gov/pubmed/34356422
http://dx.doi.org/10.3390/e23070881

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