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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 51–75 of 190 papers

TitleStatusHype
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic SegmentationCode1
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic SegmentationCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic SegmentationCode1
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic SegmentationCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure NetworkCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic SegmentationCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationCode1
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic SegmentationCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
Semi-supervised Semantic Segmentation with Error Localization NetworkCode1
Learning from Future: A Novel Self-Training Framework for Semantic SegmentationCode1
Switching Temporary Teachers for Semi-Supervised Semantic SegmentationCode1
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