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 ...

New adversarial techniques developed by engineers can make objects 'invisible' to image detection systems ... learning" are finding and documenting vulnerabilities in deep- and other machine ...

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 ...

Advances in state-of-the-art AI systems require annotated ... this problem by using deep learning object detection techniques called segmentation. The architecture chosen here is UNET with ...

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 ...

In brief: Thanks to machine learning, object detection has come a long way in ... researchers at Carnegie Mellon University have developed a new system that uses GPUs to quickly and accurately ...

The object detection required for machine ... Thomas Andersen, vice president for AI and machine learning at Synopsys, said that in this situation, it depends on the actual application and its ...

Korea have now developed a smart IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations. "For autonomous ...