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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 151200 of 956 papers

TitleStatusHype
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object DetectionCode1
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
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time AdaptationCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Language-conditioned Detection TransformerCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object DetectionCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-IdentificationCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Enhancing Close-up Novel View Synthesis via Pseudo-labelingCode1
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object DetectionCode1
Entailment as Robust Self-LearnerCode1
Mutual Teaching for Graph Convolutional NetworksCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action DetectionCode1
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose EstimationCode1
On the Equivalence of Decoupled Graph Convolution Network and Label PropagationCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
P^2OT: Progressive Partial Optimal Transport for Deep Imbalanced ClusteringCode1
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identificationCode1
Data Efficient 3D Learner via Knowledge Transferred from 2D ModelCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic 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
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
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 Class Prototypes for Unified Sparse Supervised 3D Object DetectionCode1
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