Deep learning neural networks for object detection are trained on huge datasets of labeled photos, where the algorithms learn to recognize things by extracting features such as edges, corners, ...

Visual object detection seeks to discover objects of specific target classes in a given image with pinpoint accuracy and apply a class label to each object instance. Object recognition strategies ...

YOLO v4[1] is a popular single stage object detector that performs detection and classification using CNNs. In this repository we use Complex-YOLO v4[2] approach, which is a efficient method for Lidar ...

A newly published study on arXiv by researcher Nora Fink reveals a groundbreaking tool that uses advanced deep learning to ...

Traditional security measures rely on human monitoring, which is prone to errors and delays. AI-powered gun detection system ...

Scientists claim to have established a deep learning device that can exactly predict image retargeting dimensions an automate ...

LOGIC, the pioneering provider of integrated and intelligent security solutions, unveils VIGIL 13, the latest software and camera release for 3xLOGIC’s Video Management solution. It ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world applications, from medical imaging to wildlife conservation.

"IEEE.tv is an excellent step by IEEE. This will pave a new way in knowledge-sharing and spreading ideas across the globe." ...

This monograph provides a historical overview of deep learning and focuses on its applications in object recognition, detection, and segmentation, which are key challenges of computer vision and have ...