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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 651–700 of 956 papers

TitleStatusHype
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memoryCode1
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationCode1
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization—0
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Semi-Supervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation FrameworkCode1
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic SegmentationCode0
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain AdaptationCode0
Analysis of Semi-Supervised Methods for Facial Expression RecognitionCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations—0
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object DetectionCode0
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning—0
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object DetectionCode0
Towards Realistic Semi-Supervised LearningCode1
On Non-Random Missing Labels in Semi-Supervised LearningCode1
LViT: Language meets Vision Transformer in Medical Image SegmentationCode2
Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic SegmentationCode0
Boosting Cross-Domain Speech Recognition with Self-SupervisionCode0
Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD ChallengeCode1
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image ClassificationCode1
Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification—0
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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