Latest Articles for Data Augmentation

A new method for real-time eye tracking using event cameras and lightweight networks.

A new method enhances emotion prediction accuracy using data augmentation techniques.

Self-supervised learning improves model performance with less labeled data.

Improving software security by detecting vulnerabilities before exploitation.

A new method improves link prediction by addressing noisy and incomplete data.

Diverse features enhance models' ability to identify new data categories effectively.

Exploring the balance of real and generated data for better machine learning performance.

Exploring the current state and future directions of Mathematical Expression Recognition technology.

A new framework improves self-driving car behavior through advanced learning techniques.

SynCellFactory generates synthetic cell videos to enhance training data for better tracking.

A new method uses questions to identify event roles in documents.

Researchers develop a system to verify holograms in identity documents using smartphones.

Study reveals methods to enhance clarity in reporting randomized controlled trials.

A new method enhances time-series forecasting through effective data augmentation.

New methods improve audio-visual speaker detection in challenging environments.

A new method enhances image recognition by mimicking human visual adjustments.

New data augmentation methods enhance performance in wireless sensing applications.

A new approach to enhance contrastive learning through adaptive data augmentation techniques.

XDomainMix improves model performance by enhancing feature diversity in domain generalization.

AI systems enhance diagnosis accuracy in analyzing chest X-rays.

Learn how data augmentation enhances AI model performance by expanding data variety.

A new parser improves the clarity of clinical notes through structured representations.

RobustMVS improves 3D reconstruction by enhancing model generalization.

A new system improves defect detection in photovoltaic modules using AI.

Enhancing fairness in AI by involving domain experts in data generation.

A new method enhances fact-checking accuracy and clarity.

Addressing data augmentation issues for better performance in Vision Transformers.

This article discusses label propagation's role in enhancing image classification accuracy.

A new toolbox improves LiDAR segmentation for safer self-driving cars.

A new method enhances forecasting by generating data dynamically during training.

Exploring the blend of privacy-focused learning and data generation techniques.

TSER enhances forecasting accuracy by generating synthetic samples for underrepresented time series.

Introducing a novel method for improved depth estimation using unlabeled data.

SADA enhances training stability in visual reinforcement learning with advanced data augmentation techniques.

Generative Trajectory Augmentation improves decision-making in offline RL.

A new method improves model accuracy with simple adjustments.

AnyFit offers realistic virtual try-ons with its innovative features and technology.

A novel approach enhances classification accuracy by reducing background reliance.

New techniques enhance voice reconstruction in challenging settings using limited data.

A new method enhances event data through innovative augmentation techniques.