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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 101–125 of 190 papers

TitleStatusHype
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationCode2
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation—0
Triple-View Feature Learning for Medical Image SegmentationCode1
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation—0
LaserMix for Semi-Supervised LiDAR Semantic SegmentationCode2
What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation—0
UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic SegmentationCode1
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training—0
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation—0
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization—0
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach—0
Feature-enhanced Adversarial Semi-supervised Semantic Segmentation Network for Pulmonary Embolism Annotation—0
Semi-supervised Semantic Segmentation with Error Localization NetworkCode1
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools SegmentationCode3
Translation Consistent Semi-supervised Segmentation for 3D Medical ImagesCode1
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic SegmentationCode1
Unbiased Subclass Regularization for Semi-Supervised Semantic SegmentationCode1
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-LabelsCode2
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition ImagesCode0
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference—0
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation—0
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation—0
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning—0
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