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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 276–300 of 956 papers

TitleStatusHype
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-IDCode1
Spherical Space Domain Adaptation With Robust Pseudo-Label LossCode1
DMT: Dynamic Mutual Training for Semi-Supervised LearningCode1
Instance Credibility Inference for Few-Shot LearningCode1
Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-IDCode1
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic SegmentationCode1
Deep Active Learning for Biased Datasets via Fisher Kernel Self-SupervisionCode1
Weakly supervised discriminative feature learning with state information for person identificationCode1
Adversarial-Learned Loss for Domain AdaptationCode1
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New BenchmarkCode1
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
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain AdaptationCode0
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
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