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Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context. (arXiv:2205.09678v1 [cs.CV])
cs.LG updates on arXiv.org arxiv.org
The development of mobile and on the edge applications that embed deep
convolutional neural models has the potential to revolutionise biomedicine.
However, most deep learning models require computational resources that are not
available in smartphones or edge devices; an issue that can be faced by means
of compact models. The problem with such models is that they are, at least
usually, less accurate than bigger models. In this work, we study how this
limitation can be addressed with the application …
arxiv biomedical classification context cv image learning networks semi-supervised semi-supervised learning supervised learning