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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 51–100 of 190 papers

TitleStatusHype
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Semi-Supervised Semantic Segmentation via Adaptive Equalization LearningCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Robust Semantic Segmentation with Superpixel-MixCode1
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline InvestigationCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Semi-supervised Semantic Segmentation with Directional Context-aware ConsistencyCode1
ST++: Make Self-training Work Better for Semi-supervised Semantic SegmentationCode1
Semi-Supervised Semantic Segmentation with Cross Pseudo SupervisionCode1
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory BankCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth EstimationCode1
A Three-Stage Self-Training Framework for Semi-Supervised Semantic SegmentationCode1
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR SegmentationCode1
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
Part-aware Prototype Network for Few-shot Semantic SegmentationCode1
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
Semi-Supervised Semantic Segmentation with Cross-Consistency TrainingCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
Adversarial Learning for Semi-Supervised Semantic SegmentationCode1
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning resultsCode1
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation—0
DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic SegmentationCode0
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary ModelCode0
HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment—0
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic SegmentationCode0
Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation—0
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation—0
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme—0
BoundMatch: Boundary detection applied to semi-supervised segmentation for urban-driving scenes—0
Semi-supervised Semantic Segmentation with Multi-Constraint Consistency LearningCode0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationCode0
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation—0
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity—0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical ImagingCode0
Masked Image Modeling Boosting Semi-Supervised Semantic SegmentationCode0
Revisiting Network Perturbation for Semi-Supervised Semantic SegmentationCode0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving—0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised SegmentationCode0
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation—0
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence ImagesCode0
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