Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

More Objects (FOMO), the new deep learning architecture can unlock new computer vision applications. Most object-detection deep learning models have memory and computation requirements that are ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

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 ...

“It’s a clever and important study that reminds us that ‘deep learning’ isn’t really that deep ... where artificial intelligence systems attempt to detect and categorize objects. They might try to ...