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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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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
Scene-Centric Unsupervised Panoptic SegmentationCode2
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
PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object DetectionCode2
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
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object DetectionCode2
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