In the past few years, deep learning object detection has come a long way, evolving from a patchwork of different components to a single neural network that works efficiently. Today, many ...

In the past few years, deep learning object detection has come a long way, evolving from a patchwork of different components to a single neural network that works efficiently. Today, many ...

“We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed ...

Called Faster Objects, More Objects (FOMO), the new deep learning architecture ... startup to prevent scams and fraud using technology on June 19. Object detection models are much more complex ...

Contributing to the development of new treatments with single-cell analysis and ... the images as training data to perform deep learning. The object detection model resulting from the learning ...

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

object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep learning architecture ... an application using RefineNet requires ...