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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 1–25 of 190 papers

TitleStatusHype
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic SegmentationCode3
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic SegmentationCode2
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-LabelsCode2
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationCode2
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical ImagesCode2
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic SegmentationCode1
Adversarial Learning for Semi-Supervised Semantic SegmentationCode1
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic SegmentationCode1
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
Semi-supervised semantic segmentation needs strong, varied perturbationsCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic SegmentationCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
A Three-Stage Self-Training Framework for Semi-Supervised Semantic SegmentationCode1
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
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