Object detection ... architecture called Fast R-CNN, which solved some of the problems of its predecessor. Fast R-CNN brings feature extraction and region selection into a single machine learning ...

Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection ... of machine learning for making some ...

A new machine ... run real-time object detection on devices with very small computation and memory capacity. Called Faster Objects, More Objects (FOMO), the new deep learning architecture can ...

The object detection required for ... areas where security is essential in machine vision applications: “Security should be addressed throughout the SoC design using industry standards such as ...

Traditional methods of detection involved using a ... of the objects and therefore cannot effectively distinguish among the different labels. Methods based on deep learning (convolutional networks ...