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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 251–300 of 956 papers

TitleStatusHype
Uncertainty-aware self-training with expectation maximization basis transformation—0
CLIPArTT: Adaptation of CLIP to New Domains at Test TimeCode1
Robust Semi-supervised Learning via f-Divergence and α-Rényi Divergence—0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing ImagesCode0
Reliable Student: Addressing Noise in Semi-Supervised 3D Object DetectionCode1
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification—0
Commonsense Prototype for Outdoor Unsupervised 3D Object DetectionCode2
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task InteractionsCode0
Unified Unsupervised Salient Object Detection via Knowledge TransferCode1
ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment—0
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning—0
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time AdaptationCode1
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation—0
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label—0
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model—0
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations—0
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection—0
Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification—0
Test-Time Zero-Shot Temporal Action LocalizationCode2
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free ApproachCode0
Negatives Make A Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning—0
SP^2OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced ClusteringCode0
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection—0
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point AnnotationCode0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness ConstraintCode2
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification—0
Efficient Test-Time Adaptation of Vision-Language Models—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression NetworkCode1
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting—0
Towards Generalizing to Unseen Domains with Few LabelsCode1
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class BiasCode0
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain AdaptationCode0
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised LearningCode1
LiqD: A Dynamic Liquid Level Detection Model under Tricky Small Containers—0
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries—0
Robust Synthetic-to-Real Transfer for Stereo MatchingCode2
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled FactorsCode1
Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss—0
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis Diagnosis—0
Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced AgentCode0
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed DetectionCode0
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