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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 151175 of 956 papers

TitleStatusHype
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual GroundingCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Exploiting Sample Uncertainty for Domain Adaptive Person Re-IdentificationCode1
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised LearningCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency RegularizationCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
Group-aware Label Transfer for Domain Adaptive Person Re-identificationCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud SegmentationCode1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility AssessmentCode1
Augmentation Strategies for Learning with Noisy LabelsCode1
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identificationCode1
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