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.
Lightweight deep learning model for underwater waste segmentation based on sonar im- ages.Waste Management, 190:63–73
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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.