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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 151–200 of 956 papers

TitleStatusHype
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual GroundingCode1
Language-conditioned Detection TransformerCode1
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time AdaptationCode1
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised LearningCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance SegmentationCode1
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency RegularizationCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-IdentificationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
MIST: Multiple Instance Self-Training Framework for Video Anomaly DetectionCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Exploiting Sample Uncertainty for Domain Adaptive Person Re-IdentificationCode1
Field Extraction from Forms with Unlabeled DataCode1
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
Part-based Pseudo Label Refinement for Unsupervised Person Re-identificationCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identificationCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic SegmentationCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
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
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial NetworkCode1
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label GenerationCode1
Learning from Future: A Novel Self-Training Framework for Semantic SegmentationCode1
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