A multi-teacher collaborative framework with reliability assessment for forward-looking sonar semantic segmentation reports 5.08% mIoU gain on FLSMD dataset using only 2% labeled data.
Semi-supervised semantic segmentation via adaptive equalization learning.Advances in Neural In- formation Processing Systems, 34:22106–22118
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CTFS : Collaborative Teacher Framework for Forward-Looking Sonar Image Semantic Segmentation with Extremely Limited Labels
A multi-teacher collaborative framework with reliability assessment for forward-looking sonar semantic segmentation reports 5.08% mIoU gain on FLSMD dataset using only 2% labeled data.