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Semi-Supervised Semantic Segmentation

Models that are trained with a small number of labeled examples and a large number of unlabeled examples and whose aim is to learn to segment an image (i.e. assign a class to every pixel).

Papers

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Showing 41–50 of 190 papers

TitleStatusHype
Semi-supervised Semantic Segmentation with Mutual Knowledge DistillationCode1
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic SegmentationCode1
Triple-View Feature Learning for Medical Image SegmentationCode1
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
Semi-supervised Semantic Segmentation with Error Localization NetworkCode1
Translation Consistent Semi-supervised Segmentation for 3D Medical ImagesCode1
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationCode1
Unbiased Subclass Regularization for Semi-Supervised Semantic SegmentationCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Perturbed and Strict Mean Teachers for Semi-supervised Semantic SegmentationCode1
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