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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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| Publié dans: | Entropy (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8304067/ https://ncbi.nlm.nih.gov/pubmed/34356422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23070881 |
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