Latest Articles for Image Processing

The effectiveness of synthetic images in training medical AI goes beyond their appearance.

New approaches improve segmentation accuracy with less labeled data.

A new framework for handling complex geometric image data in machine learning.

Bicubic++ enhances image quality with rapid processing for professional applications.

A new method enhances image clarity by effectively removing rain streaks.

A study on how we perceive images during captioning tasks.

Introducing Bi-ViT, a fully binary model that enhances efficiency in vision tasks.

DiffProtect aims to safeguard images from facial recognition while keeping them visually appealing.

A new method enhances image restoration by using semantic information from foundation models.

A new method combines generative models and 3DMMs for better face creation.

Study examines key techniques for improving remote sensing image analysis.

NeRF fusion improves 3D scenes by efficiently combining multiple models for better visuals.

New software enhances image transmission using semantic maps and polar codes.

Improving video quality through innovative training methods and data approaches.

A new approach improves image compression using irregular shapes for better efficiency.

A new approach allows image searches without costly paired data.

Introducing READMem for efficient video object segmentation with diverse memory.

NL-CS Net enhances image reconstruction using deep learning and traditional techniques.

An efficient method for estimating data in the presence of outliers.

A guide to optimal transport and its practical applications.

CLIP4STR enhances text recognition in images using vision-language models.

New methods enhance object detection using labeled and unlabeled data.

SynthMix improves medical image analysis through innovative mix-up techniques.

Spider GAN improves GAN training using structured image inputs for better results.

Research on using PCA and ICA for better GAN image adjustments.

A novel approach to classify images based on social media interactions.

A new neural network improves accuracy in detecting concrete cracks.

A new method enhances segmentation accuracy by integrating depth information without source data.

Research focuses on stabilizing solutions using oversmoothing penalties in Banach spaces.

A new method combines transfer learning with CycleGAN to improve target detection.

MIANet improves segmentation accuracy with limited training data through innovative information integration.

Learn how GTCUR approximates tensors for effective data analysis.

A new method improves deep learning models against hidden image attacks.

This work presents innovative approaches for solving mixed optimization challenges.

A new framework enhances image recovery from limited or noisy data.

FACENet improves vehicle identification under challenging lighting conditions.

New SONAR methods enhance AUV navigation and location recognition underwater.

This article discusses bias in vision-language models and proposes a solution for fairer outputs.

A look at TDEIM for efficient tensor data processing.

SAMScore improves how we evaluate image translations by focusing on key details.