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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 1–50 of 956 papers

TitleStatusHype
Distill Any Depth: Distillation Creates a Stronger Monocular Depth EstimatorCode4
Multi-label Cluster Discrimination for Visual Representation LearningCode4
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness ConstraintCode2
Delving into Inter-Image Invariance for Unsupervised Visual RepresentationsCode2
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
Robust Synthetic-to-Real Transfer for Stereo MatchingCode2
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language ModelCode2
Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-LocalizationCode2
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object DetectionCode2
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation AdaptationCode2
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-IdentificationCode2
PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object DetectionCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5Code2
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
Scene-Centric Unsupervised Panoptic SegmentationCode2
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
Commonsense Prototype for Outdoor Unsupervised 3D Object DetectionCode2
Test-Time Zero-Shot Temporal Action LocalizationCode2
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical LabelsCode2
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual GroundingCode1
Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised LearningCode1
Adaptive Self-Training for Object DetectionCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature AnalysisCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Co-mining: Self-Supervised Learning for Sparsely Annotated Object DetectionCode1
Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage MappingCode1
Adaptive Consistency Regularization for Semi-Supervised Transfer LearningCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
CLIPArTT: Adaptation of CLIP to New Domains at Test TimeCode1
Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label GenerationCode1
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationCode1
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything ModelCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation ProblemsCode1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D NetworksCode1
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label ClassifierCode1
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