Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

Redefining object detection deep learning architectures FOMO also applies a major structural change to traditional deep learning architectures. Single-shot object detectors are composed of a set ...

Dynamic Point-Pixel Feature Alignment for Multi-modal 3D Object Detection. IEEE Internet of Things Journal, 2023; 1 DOI: 10.1109/JIOT.2023.3329884 ...

The novel SBDet model introduces a relaxed rotation-equivariant network (R2Net) that improves object detection in scenarios with symmetry-breaking or non-rigid transformations. This innovation ...