Latest Articles for Data Augmentation

Advancements in deep learning improve skin disease diagnosis accuracy.

Researchers enhance fetal ultrasound accuracy using synthetic images and machine learning.

Exploring how dataset diversity impacts deep learning model performance.

New model CFGen improves synthetic single-cell data generation for better research insights.

A new method improves detection of AI-generated images by focusing on textured areas.

New methods improve emotion recognition and response in technology.

GraphTP enhances graph learning through improved data strategies.

Explore the importance of visualization datasets in enhancing automated data processes.

A new method improves superpixel segmentation in 360° images using deep learning.

A cutting-edge approach improves identification of altered and recaptured images.

New methods enhance accuracy in predicting flu-related hospitalizations.

A new approach enhances zero-shot learning for better IoT data classification.

Addressing issues in tracking solar panel installations through advanced technologies.

A new method improves heart rate measurement for diverse skin tones.

A new framework improves medical image segmentation with fewer labeled images.

A new method to enhance data variety for improved model performance.

Improving accuracy in estimating head orientations for various applications.

New methods enhance accuracy in indoor positioning using machine learning techniques.

Research focuses on detecting deepfake audio through improved techniques and data expansion.

InfinityMath improves math skills in language models through quality datasets.

Curled-Dreamer enhances decision-making in reinforcement learning using contrastive learning methods.

ARPA enhances Visual Word Sense Disambiguation by integrating language and image processing techniques.

Utilizing unlabeled data to improve machine learning models through pseudo-labeling.

A method to improve deepfake detection by reducing data biases.

This article discusses the role of generative AI in enhancing machine vision applications.

A new model improves accuracy in recognizing hand gestures for seamless interaction.

A new method enhances accuracy in brain tumor imaging and diagnosis.

A study on enhancing spoken dialogue systems for children with limited data.

Using advanced models to enhance inspection accuracy and efficiency for culverts and sewer pipes.

ARMADA improves image-text pairing through attribute-focused data creation.

A look into the DLPM framework for data modeling and noise reduction.

A new method enhances GAN performance with limited data.

Two new methods enhance data augmentation for time series forecasting.

O-HuBERT enhances speech recognition by separating content and expressive information.

Exploring new methods for automatic hippocampus size measurement in MRI scans.

This study compares different YOLOv5 models in identifying various vehicle types under various conditions.

A new system uses technology for faster and more accurate coconut maturity classification.

An overview of advancements in speaker recognition through the VoxCeleb Challenge.

This article discusses data augmentation methods for improving continual reinforcement learning agents.

New approach improves wrist injury recognition in X-rays without expert input.