Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

Ofir Mulla, Co-Founder and CTO of Lumana, brings over a decade of deep expertise in 3D and computer vision technologies, ...

A: Most pipelines use deep learning backbones like Faster R-CNN, trained on labeled datasets of façades and markings. They ...

Abstract: Deep learning is a key branch of machine learning that leads the frontier of scientific research and has a significant impact on the field of computer vision. With the development of deep ...

Abstract: Recent advancements in medical object detection (MOD) have been propelled by the rapid evolution of deep learning (DL) technologies, revolutionizing medical imaging and diagnostic workflows.

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Notifications You must be signed in to change notification settings This repository complements our survey paper, “AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and ...

Researchers at the Institute of Automation, Chinese Academy of Sciences and Peking University have recently developed a novel approach to few-shot object detection. This innovative method, detailed in ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...