Latest Articles for Data Augmentation

A new method improves data augmentation for laparoscopic surgery images.

This article discusses performance of style-based qGANs on different quantum computers.

ABEX uses Abstract-and-Expand to enhance training data for natural language understanding tasks.

Advances in automatic lymph node segmentation enhance cancer treatment accuracy.

A look at the importance of culture in Natural Language Processing advancements.

A new method for effective word and sentence representations in natural language processing.

Researchers improve AI techniques for faster, cost-effective custom skull implants.

This article evaluates data augmentation methods for task-oriented dialog systems to improve performance.

This study uses transformer models to find strong gravitational lenses in astronomical data.

New methods improve image datasets while ensuring privacy and performance.

A new method enhances speaker verification accuracy in challenging radio environments.

Introducing a fast and efficient system for retrieving CAD parts using graph neural networks.

This article explores issues in explaining deep learning models for grain disease detection.

Streamlined approaches to self-supervised learning enhance performance and accessibility.

A new framework improves the detection of brain lesions using synthetic images.

A new model enhances smoke detection using satellite images in challenging conditions.

A new method boosts accuracy in identifying plant stress using automated data augmentation.

A new technique enhances anomaly detection using self-supervised learning.

A new method for teaching machines through videos despite visual differences.

New methods improve model learning using effective negative samples in graph data.

Introducing a new self-supervised framework for SAR feature extraction.

A system combines audio and video to enhance speaker detection accuracy.

Research highlights how prompts affect AI-generated text detection accuracy.

Diff-ID enhances person recognition by generating diverse training images.

This study focuses on enhancing model responses by targeting specific length requirements.

A new model enhances accuracy in 3D segmentation using point clouds.

IDAICL improves predictions by refining demonstration quality in in-context learning.

This article examines the role of LLMs in generating synthetic data for text classification tasks.

An overview of neural networks, their structure, and applications across various fields.

New AI model improves tumor segmentation and diagnosis in lung cancer.

Exploring the role of synthetic data in improving schizophrenia diagnosis.

Analyzing how memes shape opinions through persuasive techniques.

This article discusses methods to improve sign language translation using modern technology.

A new system improves multi-instrument music transcription accuracy and efficiency.

New algorithm improves detection of neurofibrillary tangles in Alzheimer's disease.

A new method improves identification of hate speech in Arabic social media.

New methods improve detection of small objects in computer vision.

Introducing a method for better control in speech editing.

Introducing a new method for better domain generalization in machine learning.

A new framework enhances the adaptability of vision-language models through smart data processing.