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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 26–50 of 190 papers

TitleStatusHype
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
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic SegmentationCode1
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic SegmentationCode1
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
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic Segmentation—0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic SegmentationCode1
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey—0
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation—0
Floor Plan Image Segmentation Via Scribble-Based Semi-Weakly Supervised Learning: A Style and Category-Agnostic ApproachCode0
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost DisturbancesCode0
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells—0
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic SegmentationCode1
Training Vision Transformers for Semi-Supervised Semantic SegmentationCode1
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data—0
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language GuidanceCode1
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery—0
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation—0
Switching Temporary Teachers for Semi-Supervised Semantic SegmentationCode1
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