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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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TitleStatusHype
Enhancing Self-Training Methods—0
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation—0
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning—0
SemPPL: Predicting pseudo-labels for better contrastive representationsCode1
Homeomorphism Alignment for Unsupervised Domain AdaptationCode0
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-IdentificationCode1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited AnnotationsCode1
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning—0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training—0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
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