Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...
(A) Network training pipeline. The network takes in a pair of images and a pair of centroid position lists corresponding to the images at two different time points (fixed and moving). (In the LocalNet ...
Abstract: Traditional methods of human activity recognition usually require a large amount of strictly labeled data for training classifiers. However, it is hard for one to keep a fixed activity when ...
1 Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China 2 School of Computer Science And Technology, Shandong Technology ...
ABSTRACT: Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...
The Bears' home schedule could be more interesting than usual next year with a possible rematch against the man who said he owned them, Aaron Rodgers, should he turn up in Minnesota or Pittsburgh. The ...