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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 151–190 of 190 papers

TitleStatusHype
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation—0
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation—0
360^ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation—0
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic SegmentationCode0
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as ReferenceCode0
Guided Collaborative Training for Pixel-wise Semi-Supervised LearningCode0
Semi-Supervised Semantic Segmentation with Cross Teacher TrainingCode0
Semi-Supervised Semantic Segmentation With Region RelevanceCode0
Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic ApproachCode0
CAFS: Class Adaptive Framework for Semi-Supervised Semantic SegmentationCode0
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition ImagesCode0
Revisiting consistency for semi-supervised semantic segmentationCode0
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic SegmentationCode0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic SegmentationCode0
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic SegmentationCode0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical ImagingCode0
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic SegmentationCode0
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasksCode0
Decoupled Deep Neural Network for Semi-supervised Semantic SegmentationCode0
Universal Semi-Supervised Semantic SegmentationCode0
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-TrainingCode0
DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic SegmentationCode0
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic SegmentationCode0
Curriculum semi-supervised segmentationCode0
Revisiting Network Perturbation for Semi-Supervised Semantic SegmentationCode0
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image SegmentationCode0
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence ImagesCode0
Semi-Supervised Semantic Segmentation via Marginal Contextual InformationCode0
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic SegmentationCode0
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised SegmentationCode0
Semi-Supervised Semantic Segmentation with High- and Low-level ConsistencyCode0
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost DisturbancesCode0
Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic SegmentationCode0
Semi-supervised Semantic Segmentation with Multi-Constraint Consistency LearningCode0
Masked Image Modeling Boosting Semi-Supervised Semantic SegmentationCode0
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary ModelCode0
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
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