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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 301–325 of 956 papers

TitleStatusHype
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
Certainty and Uncertainty Guided Active Domain Adaptation—0
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
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning—0
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation—0
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T TrackingCode0
Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification—0
High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers—0
Consistency-aware Fake Videos Detection on Short Video PlatformsCode0
OpenAVS: Training-Free Open-Vocabulary Audio Visual Segmentation with Foundational Models—0
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms—0
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt LearningCode0
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain AdaptationCode0
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain AdaptationCode0
Pseudo-Label Guided Real-World Image De-weathering: A Learning Framework with Imperfect Supervision—0
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM—0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-TrainingCode0
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label GenerationCode0
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