SOTAVerified

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 126–150 of 190 papers

TitleStatusHype
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation—0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference—0
HierVL: Semi-Supervised Segmentation leveraging Hierarchical Vision-Language Synergy with Dynamic Text-Spatial Query Alignment—0
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image—0
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme—0
Improved Training for Self-Training by Confidence Assessments—0
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity—0
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays—0
IPixMatch: Boost Semi-supervised Semantic Segmentation with Inter-Pixel Relation—0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter—0
Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation—0
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
Learning High-Resolution Domain-Specific Representations with a GAN Generator—0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation—0
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning—0
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach—0
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation—0
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation—0
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Navya3DSeg -- Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles—0
360^ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation—0
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