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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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TitleStatusHype
Multi-label Cluster Discrimination for Visual Representation LearningCode4
Distill Any Depth: Distillation Creates a Stronger Monocular Depth EstimatorCode4
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation AdaptationCode2
DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationCode2
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5Code2
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness ConstraintCode2
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
Delving into Inter-Image Invariance for Unsupervised Visual RepresentationsCode2
Commonsense Prototype for Outdoor Unsupervised 3D Object DetectionCode2
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