Web: http://arxiv.org/abs/2209.08174

Sept. 20, 2022, 1:12 a.m. | Fadoua Khmaissia, Hichem Frigui

cs.CV updates on arXiv.org arxiv.org

We propose a new data augmentation technique for semi-supervised learning
settings that emphasizes learning from the most challenging regions of the
feature space. Starting with a fully supervised reference model, we first
identify low confidence predictions. These samples are then used to train a
Variational AutoEncoder (VAE) that can generate an infinite number of
additional images with similar distribution. Finally, using the originally
labeled data and the synthetically generated labeled and unlabeled data, we
retrain a new model in a …

arxiv augmentation confidence data semi-supervised training

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