Deep co-training for semi-supervised image segmentation

•Semi-supervised semantic segmentation based on an ensemble of deep learning models.•All models are trained jointly in a co-training setting.•Coherence among models is enforced by minimizing the Jensen-Shannon divergence of the probabilities distributions on the unlabeled samples.•Diversity among mo...

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Bibliographic Details
Published inPattern recognition Vol. 107; p. 107269
Main Authors Peng, Jizong, Estrada, Guillermo, Pedersoli, Marco, Desrosiers, Christian
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2020
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