Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
IEEE

Smart Aquaculture: Integrating Computer Vision and IoT for Automated Crayfish Health Assessment via Federated Learning

Abstract: The rising global demand for aquaculture products necessitates sustainable alternatives to traditional farming methods that often rely on manual monitoring prone to errors and inefficiencies ...
GitHub

Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks

Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...
GitHub

Deep Learning for Computer Vision

Deep Learning for Computer Vision is a community-driven open-source initiative designed to create an accessible, structured, and comprehensive resource for students, researchers, and practitioners ...
IEEE

Computer Vision and Deep Learning-Driven Augmented Reality Applications in Smart Retail

Abstract: Augmented Reality (AR) integrated with Deep Learning (DL) and Computer Vision (CV) is transforming the retail landscape by offering immersive and intelligent shopping experiences. These ...