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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 676–700 of 956 papers

TitleStatusHype
Confident Sinkhorn Allocation for Pseudo-LabelingCode1
Transductive CLIP with Class-Conditional Contrastive Learning—0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored ClusteringCode1
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training—0
Learning Unbiased Transferability for Domain Adaptation by Uncertainty ModelingCode0
Positive Unlabeled Contrastive Learning—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data—0
Improve Event Extraction via Self-Training with Gradient Guidance—0
Semi-supervised Drifted Stream Learning with Short Lookback—0
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text ClassificationCode0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware SegmentationCode0
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm—0
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model—0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization—0
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation—0
MIPR:Automatic Annotation of Medical Images with Pixel Rearrangement—0
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage FrameworksCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
Exemplar Learning for Medical Image Segmentation—0
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions—0
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets—0
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