Nature

Object Detection Techniques in Deep Learning Systems

Object detection in deep learning encompasses a range of approaches that identify and localise instances of semantic classes in images. Early methods relied on two-stage architectures, first ...
Science Daily

Researchers develop novel deep learning-based detection system for autonomous vehicles

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...
pv magazine International

PV module fault detection tech based on deep learning of electroluminescence

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Nasdaq

Zebra Technologies Adds New Deep Learning Tools to Aurora Machine Vision Software

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...
EurekAlert!

INU researchers develop novel deep learning-based detection system for autonomous vehicles

A new object detection system utilizes the state-of-the-art YOLOv3 (You Only Look Once) algorithm, offering significantly improved detection capabilities even under unfavorable conditions and can, ...