SOTAVerified

Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 251275 of 956 papers

TitleStatusHype
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point CloudsCode1
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
Unsupervised Action Segmentation by Joint Representation Learning and Online ClusteringCode1
Group-aware Label Transfer for Domain Adaptive Person Re-identificationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
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 Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-IdentificationCode1
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningCode1
Rethinking Sampling Strategies for Unsupervised Person Re-identificationCode1
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic SegmentationCode1
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain AdaptationCode1
End-to-End Semi-Supervised Object Detection with Soft TeacherCode1
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility AssessmentCode1
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly DetectionCode1
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised LearningCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Enhancing Close-up Novel View Synthesis via Pseudo-labelingCode1
MIST: Multiple Instance Self-Training Framework for Video Anomaly DetectionCode1
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