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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Published in | Pattern recognition Vol. 107; p. 107269 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.11.2020
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Subjects | |
Online Access | Get full text |
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