Abstract: Large data volumes, dynamic scenes, and intricate object motions make video analysis extremely difficult. Traditional methods depend on human-crafted features that are not scalable. This ...
Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...
Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...
Abstract: To address the problems of relying on electronic repositories and being vulnerable to network influence in obtaining key information of literature in mainstream literature management ...
Video guide 3D motion tracking to attach objects to Floors or Walls in After effects Why Congress can't claw back war powers from Trump FBI announces arrest of alleged drug kingpin Ryan Wedding 40 ...
This video to show you, how to get rid any of viruses or malware from your PC. It's simple! Just make salad with Stop Motion Cooking Hope the virus removal process make you fun and feel asmr (This is ...
Abstract: Existing object detection algorithms are often constrained by the high computational costs associated with large network structures in practical applications. To facilitate the development ...
People can use remote touch to sense a hidden object buried under sand. The effect extends nearly 2.76 inches (7 centimeters) from the target. A London team ran precise experiments showing this remote ...
For the first time, an international research team led by Nanyang Technological University, Singapore (NTU Singapore) has recorded a tiny mechanical “twitch” in living human and rodent eyes at the ...
Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...
Abstract: Object detection has made remarkable advancement in recent years particularly through CNN-based algorithms, essential for autonomous vehicles. These vehicles need efficient detection systems ...