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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 451–500 of 956 papers

TitleStatusHype
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning—0
Exemplar Learning for Medical Image Segmentation—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection—0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation—0
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification—0
Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization—0
Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos—0
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR—0
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification—0
Extreme Multi-label Text Classification with Pseudo Label Descriptions—0
Extreme Point Supervised Instance Segmentation—0
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels—0
Federated Continual Novel Class Learning—0
FedGL: Federated Graph Learning Framework with Global Self-Supervision—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation—0
Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning—0
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI—0
Filter and evolve: progressive pseudo label refining for semi-supervised automatic speech recognition—0
Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning—0
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment—0
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering—0
Fitting Different Interactive Information: Joint Classification of Emotion and Intention—0
Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
Frame-Level Real-Time Assessment of Stroke Rehabilitation Exercises from Video-Level Labeled Data: Task-Specific vs. Foundation Models—0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification—0
GALOT: Generative Active Learning via Optimizable Zero-shot Text-to-image Generation—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation—0
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning—0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation—0
Generative Partial Visual-Tactile Fused Object Clustering—0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis—0
GeT: Generative Target Structure Debiasing for Domain Adaptation—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition—0
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation—0
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks—0
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling—0
Graph View-Consistent Learning Network—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling—0
High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers—0
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification—0
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