As deep learning continued to develop, it became clear that it could solve certain CV problems extremely well. Challenges like object detection and classification were especially ripe for the deep ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Specific research interests include federated learning, blockchain, and data security. Dr. M.N.S. Swamy. Algorithms for image and video signal processing, Speech processing, Biometrics, Deep neural ...

“There are a few main directions for machine vision, including cloud computing to scale deep-learning solutions, automated ML architectures to improve the ML pipeline, transformer architectures that ...

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 ...

Let’s understand how automation, big data, computer vision and deep learning are related and can work together in the context of cryptocurrencies and blockchain technology, using fraud detection ...

Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...

LINCOLNSHIRE, Ill., August 26, 2024--Zebra Technologies adds new deep learning tools to Aurora machine vision ... a dedicated workspace for training a deep learning model on object detection.