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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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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
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages—0
Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes—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
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