Latest Articles for Deep Learning

New techniques enhance Vision Transformers for better performance with small datasets.

A new method enhances gallbladder cancer detection using basic image labels.

A new method improves underwater photography by addressing light challenges.

This study reviews efficient neural network techniques for image analysis in remote sensing.

A method that speeds up convolution operations in deep neural networks.

TransNet offers an efficient solution for recognizing human actions in video data.

Exploring the connection between residual networks and neural ordinary differential equations.

A new method enhances precision in measuring gel deformation for robotic sensors.

New model SAMUS enhances ultrasound image segmentation for improved clinical accuracy.

New codec achieves high efficiency in point cloud data transmission.

V-nets offer a new perspective on deep learning efficiency and performance.

A new method accelerates particle physics simulations using super-resolution techniques.

Introducing COPS, a method for efficient deep learning model training with less data.

Introducing CMI and NCMI for better deep learning performance assessment.

This article discusses the role of BEV perception in self-driving technology.

New methods aim to enhance imaging of fetal heart conditions.

EditAS method enhances assertion generation for better unit testing outcomes.

A new approach to surface modeling using neural networks.

New methods enhance ECC performance using deep learning and innovative matrix designs.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

ModelGiF offers a method to quantify relationships between deep learning models.

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

LineMarkNet enhances autonomous vehicle parking accuracy with advanced line detection.

A new method aims to enhance segmentation accuracy for carotid artery MRI images.

New approach improves how visual features relate to questions in VQA.

A new method enhances accuracy in ultrasound image segmentation through Confidence Maps.

A new method enhances segmentation accuracy in limited data scenarios.

A new approach to better identify adversarial attacks on deep learning systems.

Research enhances deep learning models for resource-constrained environments.

Innovative approach improves image recognition testing efficiency and accuracy.

A clear look at RNNs and their linearization methods to improve model effectiveness.

This study showcases the effectiveness of GNNs in analyzing stiffened panels.

Point Cloud Networks reduce parameters while maintaining performance in deep learning tasks.

A new method enhances license plate recognition by using images from different camera angles.

Researchers develop a deep learning model for predicting solar flares with improved accuracy.

This study reveals how brain signals can recreate images seen by individuals.

A new method boosts fine-grained classification using part discovery and contrastive learning.

New deep learning models enhance analysis of organelles in label-free transmitted light microscopy.

This paper examines the return landscape and its implications for agent performance.

Study explores FP8 formats for improved model efficiency and accuracy.