SOTAVerified

Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 51100 of 956 papers

TitleStatusHype
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
Exploiting Sample Uncertainty for Domain Adaptive Person Re-IdentificationCode1
Adaptive Self-Training for Object DetectionCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised LearningCode1
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised LearningCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
A semi-supervised Teacher-Student framework for surgical tool detection and localizationCode1
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised LearningCode1
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative AttacksCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
Adversarial-Learned Loss for Domain AdaptationCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter TuningCode1
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised LearningCode1
CLIPArTT: Adaptation of CLIP to New Domains at Test TimeCode1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited AnnotationsCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
Augmentation Strategies for Learning with Noisy LabelsCode1
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual GroundingCode1
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency RegularizationCode1
Deep Active Learning for Biased Datasets via Fisher Kernel Self-SupervisionCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
DealMVC: Dual Contrastive Calibration for Multi-view ClusteringCode1
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label GenerationCode1
Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataCode1
Show:102550
← PrevPage 2 of 20Next →

No leaderboard results yet.