Latest Articles for Data Augmentation

A new system identifies different rose breeds to aid farmers.

A new method improves kidney stone diagnosis with clear explanations.

New methods improve communication through sign language recognition technology.

New methods boost classification accuracy for time series data.

Researchers develop LIPSFUS dataset for better lip reading systems.

A new approach to translating panoramic images using traditional styles.

Learn how data augmentation improves machine learning performance with imbalanced data.

A novel method for improved medical image segmentation using 3D scale-equivariant networks.

Exploring two methods to train MLPs with symmetric data.

A system that detects helmet violations instantly using advanced technology.

New method improves deep learning models without complex tuning.

Combining OCR and LSTM for better translation outcomes.

A study examining the trustworthiness of visual explanations in neural networks.

A new method improves data augmentation for better model training and performance.

A new approach combines domain adaptation and data augmentation for better translation quality estimation.

Learn how causal data augmentation can enhance limited datasets in machine learning.

Exploring self-supervised learning for efficient satellite image analysis.

A new method enhances image analysis in histopathology through synthetic data generation.

A study comparing data augmentation techniques for enhancing computer vision models.

New methods in FER using Spiking Neural Networks aim for lower energy consumption.

Researchers enhance whale whistle extraction using advanced data methods.

Researchers develop DeformableFormer to enhance pancreatic tissue sample assessment.

GEDI combines generative and discriminative methods to enhance machine learning.

Strategies to improve model performance in imbalanced datasets.

A novel approach to enhance pose detection despite occlusion.

MixPro improves image model training, enhancing performance and robustness for Vision Transformers.

This study enhances semantic segmentation accuracy using various model architectures.

Researchers tackle online sexism detection using advanced language models.

Learn how ChatGPT generates training data to improve machine learning models.

Researchers improve detection methods for persuasion techniques in news articles using data augmentation.

A unified approach to improve tactile representation learning for robots.

New method improves multi-view portrait drawings using consistent facial features.

Examining the role of Vision Transformers in semantic segmentation techniques and applications.

This study assesses GANs in improving chest X-ray classification through data augmentation.

A new approach to enhance consistency in online product categorization.

Combining CNNs and transformers for clearer stereo images.

Methods to improve computer vision models against image distortions.

A method to enhance model performance in tissue image analysis.

HCTM improves texture quality and consistency for 3D models using text prompts.

Methods to enhance chatbot intent classification with minimal training data.