Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

Sufi K Sulaiman Joins 1cPlatform as CTO, Taking the Helm to Shape the Company’s Next Era of Intelligent Automation and ...

Jesta I.S. today announced the launch of FarsightIQ, a new AI-focused division delivering what the company calls one of retail’s most advanced AI-driven commerce platforms—where machine learning and ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

New research demonstartes the power of combining computer vision with generative models to address key inefficiencies in smart farming. Published in Applied Sciences, the study emphasizes how these AI ...

Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy. A dual-modality, deep learning system can accurately detect vision-threatening diabetic retinopathy (vtDR) using ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...