Deep learning on small datasets using online image search
Martin Kolář, Michal Hradiš, Pavel Zemčík · 2016
This paper tackles the unsolved important problem of training deep models with small amounts of annotated data. We propose a semi-supervised self-training bootstrap to deep learning on small datasets by retrieving and utilizing additional images from internet image search.