Semisupervised Semantic Segmentation With Certainty-Aware Consistency Training for Remote Sensing Imagery
Semisupervised learning is a forcible method to lessen the cost of annotation for remote sensing semantic segmentation tasks. Recent related research works indicate that consistency training is one of the most effective strategies in semisupervised learning. The core of consistency training is maint...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10066529/ |