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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 201–225 of 956 papers

TitleStatusHype
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action LocalizationCode0
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance InsightsCode1
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher—0
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization—0
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised LearningCode0
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
The USTC-NERCSLIP Systems for The ICMC-ASR Challenge—0
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object DetectionCode2
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection—0
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad PredictionCode1
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei SegmentationCode0
The Championship-Winning Solution for the 5th CLVISION Challenge 2024—0
Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding BoxesCode1
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning—0
LayerMatch: Do Pseudo-labels Benefit All Layers?—0
The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge—0
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
PIG: Prompt Images Guidance for Night-Time Scene ParsingCode0
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