Latest Articles for Data Augmentation

Techniques to enhance models for recognizing handwritten characters.

A new method to enhance depth mapping in robotics and AR.

Learn how domain adaptation improves point cloud segmentation performance.

Exploring the role of self-supervised learning in improving anomaly detection techniques.

HRGCN improves anomaly detection in complex systems without labeled data.

CamoFourier improves detection and segmentation of hidden objects using frequency domain techniques.

A four-step method for adapting object detectors to new environments.

Explore the workings and applications of GANs in various fields.

A new method improves full-body motion capture from limited VR sensors.

This project enhances recognition of Medieval Latin lemmas from handwritten record cards.

A semi-supervised approach boosts SAR automatic target recognition with limited labeled data.

A new method combines real and simulated data for better thermal comfort predictions.

Voice search technology evolves, addressing ASR errors for improved user experience.

VesselBoost enhances MRI angiography analysis for better blood vessel segmentation.

A new approach to accurately estimate crowd flow at urban Points of Interest.

Leveraging self-supervised methods to improve LiDAR semantic segmentation.

A new method enhances predictions of chronic diseases using community-specific models.

A new approach for improving automated essay assessment accuracy using grading criteria.

This study enhances soccer ball detection for mobile robots in various conditions.

Exploring data augmentation techniques for enhancing conversational AI systems.

Learn about the importance and challenges of detecting small objects in various applications.

A new framework improves action recognition by separating spatial and temporal clues.

New methods enhance the accuracy of converting spoken language to written text.

MoCo-SAS leverages self-supervised learning for enhanced underwater object recognition.

New model predicts flexible object shapes during robotic manipulation.

Examining the obstacles language models face with knowledge bases and data distribution.

MA-SAM enhances medical image segmentation by adapting SAM to unique imaging characteristics.

A new method improves how streaming services recommend films based on genres.

A new system aids dermatologists in identifying skin patterns using machine learning.

Researchers develop robots that learn table tennis through human-like demonstrations.

This study shows how new methods enhance knee OA severity classification.

This article discusses the importance and obstacles in fact verification systems.

Mixup techniques enhance machine learning accuracy in physiological time series data analysis.

New technique improves diversity of indoor panoramic image datasets.

LesionMix improves data augmentation for better detection of lesions in medical images.

A new method enhances target recognition in SAR images with less training data.

Research shows how simplifying data use improves self-driving vehicle performance.

Learn how LP-CLIP enhances the robustness of multi-modal models like CLIP.

This article discusses new methods for improving navigation near asteroids.

Improving methods for detecting solar panels through remote sensing technology.