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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 251–300 of 956 papers

TitleStatusHype
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identificationCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
Exploiting Sample Uncertainty for Domain Adaptive Person Re-IdentificationCode1
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-IDCode1
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised AdaptationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-IdentificationCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Learning from Noisy Data for Semi-Supervised 3D Object DetectionCode1
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised LearningCode1
Instance Credibility Inference for Few-Shot LearningCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text ClassificationCode1
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-IdentificationCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
Language-conditioned Detection TransformerCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-IdentificationCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Enhancing Close-up Novel View Synthesis via Pseudo-labelingCode1
Quality-aware Selective Fusion Network for V-D-T Salient Object DetectionCode1
Semi-Supervised Text Classification via Self-PretrainingCode1
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image SegmentationCode1
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic SegmentationCode1
Entailment as Robust Self-LearnerCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object DetectionCode1
EventCLIP: Adapting CLIP for Event-based Object RecognitionCode1
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification—0
CEREAL: Few-Sample Clustering Evaluation—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification—0
Domain Adaptive Ensemble Learning—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
AdaSemiCD: An Adaptive Semi-Supervised Change Detection Method Based on Pseudo-Label Evaluation—0
Domain Adaptation Using Pseudo Labels—0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation—0
CAST: Cluster-Aware Self-Training for Tabular Data via Reliable Confidence—0
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
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