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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 1–25 of 956 papers

TitleStatusHype
SAMST: A Transformer framework based on SAM pseudo label filtering for remote sensing semi-supervised semantic segmentation—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary ModelCode0
QUEST: Quality-aware Semi-supervised Table Extraction for Business DocumentsCode0
Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes—0
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages—0
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image SegmentationCode0
Segment Concealed Objects with Incomplete Supervision—0
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification—0
Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models—0
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental LearningCode0
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain AdaptationCode0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation—0
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
RefAV: Towards Planning-Centric Scenario MiningCode1
Certainty and Uncertainty Guided Active Domain Adaptation—0
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised LearningCode1
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning—0
Mutual Evidential Deep Learning for Medical Image Segmentation—0
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning—0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation—0
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain AdaptationCode0
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation—0
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