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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 51–100 of 956 papers

TitleStatusHype
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object DetectionCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
Entailment as Robust Self-LearnerCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action DetectionCode1
Adaptive Self-Training for Object DetectionCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
DealMVC: Dual Contrastive Calibration for Multi-view ClusteringCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual GroundingCode1
A semi-supervised Teacher-Student framework for surgical tool detection and localizationCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
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
Co-mining: Self-Supervised Learning for Sparsely Annotated Object DetectionCode1
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative AttacksCode1
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
CLIPArTT: Adaptation of CLIP to New Domains at Test TimeCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised LearningCode1
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
Augmentation Strategies for Learning with Noisy LabelsCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image ClassificationCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised LearningCode1
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised LearningCode1
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
Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataCode1
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label GenerationCode1
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
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