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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 101–125 of 956 papers

TitleStatusHype
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation—0
Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning—0
Universal Domain Adaptation for Semantic SegmentationCode0
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data EngineCode0
Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection—0
UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning—0
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition—0
WISNet: Pseudo Label Generation on Unbalanced and Patch Annotated Waste Images—0
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection—0
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence—0
SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization—0
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification—0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition—0
Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations—0
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud CompletionCode0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification—0
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation—0
GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation—0
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
Suppressing Uncertainty in Gaze Estimation—0
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label DenoisingCode0
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
TT-MPD: Test Time Model Pruning and Distillation—0
Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement—0
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