This study presents a robust and scalable driver drowsiness detection framework that integrates a Swin Transformer-based deep learning model with a diffusion model for image denoising ... model built ...

We employ a vision transformer (ViT) encoder-decoder structure augmented with task-specific tokens and introduce a contrastive loss to effectively align infrared and visible image features before ...

The to begin with thought when choosing a neural organize engineering is the nature of the issue you are attempting to unravel. Is it a classification assignment, a relapse issue, a arrangement ...

Selecting the right sensors and imaging components improves AI models for better decision-making in machine vision systems.

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

'ZDNET Recommends': What exactly does it mean? ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources ...