SOTAVerified

Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Showing 451–500 of 956 papers

TitleStatusHype
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher—0
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization—0
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised LearningCode0
The USTC-NERCSLIP Systems for The ICMC-ASR Challenge—0
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection—0
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei SegmentationCode0
The Championship-Winning Solution for the 5th CLVISION Challenge 2024—0
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning—0
LayerMatch: Do Pseudo-labels Benefit All Layers?—0
The Solution for CVPR2024 Foundational Few-Shot Object Detection Challenge—0
PIG: Prompt Images Guidance for Night-Time Scene ParsingCode0
Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data—0
UVIS: Unsupervised Video Instance Segmentation—0
Negative Prototypes Guided Contrastive Learning for WSOD—0
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling—0
Less is More: Pseudo-Label Filtering for Continual Test-Time AdaptationCode0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
Pseudo-label Based Domain Adaptation for Zero-Shot Text Steganalysis—0
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation—0
Extreme Point Supervised Instance Segmentation—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation—0
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft RevisionCode0
SIAVC: Semi-Supervised Framework for Industrial Accident Video ClassificationCode0
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data—0
Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency—0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation—0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
GMP-TL: Gender-augmented Multi-scale Pseudo-label Enhanced Transfer Learning for Speech Emotion Recognition—0
Uncertainty-aware self-training with expectation maximization basis transformation—0
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
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification—0
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task InteractionsCode0
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
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation—0
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model—0
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label—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
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
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