By combining AI-enabled analytics, thermal imaging and geospatial data, data centers can detect and verify physical threats ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

The latest platform features Huawei’s WEWA architecture, which ingests streams from LiDAR, radar, and vision sensors to train ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Radar Market. The global radar market is projected to reach USD 42.1 billion in 2025, with a significant upward trajectory, ...

Matrox Imaging offers Design Assistant and MIL libraries to help enable rapid development with flowchart-based programming ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

Abstract: Inconsistent accuracy between classification and localization tasks is a common challenge in modern object detection. Task decoupling, which employs distinct features or labeling strategies ...

In this paper, we focus on generating more accurate constraints by excavating the intercorrelation between fully and weakly-supervised learning to improve the performance of object detection in RSIs.