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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 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
Perturbed and Strict Mean Teachers for Semi-supervised Semantic SegmentationCode1
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations—0
Simpler Does It: Generating Semantic Labels with Objectness Guidance—0
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite ImagesCode1
Semi-Supervised Semantic Segmentation via Adaptive Equalization LearningCode1
Colour augmentation for improved semi-supervised semantic segmentation—0
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation DecodingCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
Robust Semantic Segmentation with Superpixel-MixCode1
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline InvestigationCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds—0
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as ReferenceCode0
Semi-supervised Semantic Segmentation with Directional Context-aware ConsistencyCode1
Revisiting consistency for semi-supervised semantic segmentationCode0
ST++: Make Self-training Work Better for Semi-supervised Semantic SegmentationCode1
Semi-Supervised Semantic Segmentation with Cross Pseudo SupervisionCode1
Robust Mutual Learning for Semi-supervised Semantic Segmentation—0
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory BankCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation—0
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic SegmentationCode1
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.