Object detection plays a pivotal role in advancing computer vision systems by enabling machines to perceive and interact intelligently with their environments. Despite significant advancements, ...

3D object detection based on LiDAR point cloud and prior anchor boxes is a critical technology for autonomous driving environment perception and understanding. Nevertheless, an overlooked practical ...

For example, YOLOv5 recommends more than 10,000 training instances per object class. The idea behind FOMO is that not all object-detection applications require the high-precision output that state ...

Abstract: As object detection becomes integral to many safety-critical applications, understanding its vulnerabilities is essential. Backdoor attacks, in particular, pose a significant threat by ...

Critical-Points-Calculation This repository demonstrates SIFT-based image feature detection and 3D object representation using point clouds and voxel grid downsampling, essential for tasks like object ...

This a significant step forward on the Edge where drone-based small object threat detection for force protection is responding to the rapidly changing modern battlefield.

Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets.