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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 351–400 of 956 papers

TitleStatusHype
Semi-supervised Active Learning for Video Action DetectionCode0
Mixed Pseudo Labels for Semi-Supervised Object DetectionCode1
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations—0
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions—0
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Learning Part Segmentation from Synthetic Animals—0
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling—0
Language-conditioned Detection TransformerCode1
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs—0
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework—0
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object DetectionCode0
SSASS: Semi-Supervised Approach for Stenosis Segmentation—0
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image SegmentationCode0
Gradual Source Domain Expansion for Unsupervised Domain AdaptationCode1
SCADI: Self-supervised Causal Disentanglement in Latent Variable ModelsCode0
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and RegressionCode0
Towards Generalized Multi-stage Clustering: Multi-view Self-distillation—0
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion ClassificationCode0
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
Semi-Supervised Panoptic Narrative GroundingCode1
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering—0
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object DetectionCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement—0
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
Deep Feature Registration for Unsupervised Domain Adaptation—0
MyriadAL: Active Few Shot Learning for HistopathologyCode0
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images—0
Learning Real-World Image De-Weathering with Imperfect SupervisionCode1
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text ClassificationCode1
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection—0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation—0
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
CAST: Cluster-Aware Self-Training for Tabular Data via Reliable Confidence—0
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object LocalizationCode0
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation—0
SemiReward: A General Reward Model for Semi-supervised LearningCode1
Deep Insights into Noisy Pseudo Labeling on Graph DataCode0
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi—0
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition—0
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label—0
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering—0
VPA: Fully Test-Time Visual Prompt Adaptation—0
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models—0
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