A novel vision sensor inspired by the neural transmission mechanisms of the human brain has been developed to efficiently and accurately extract object outlines even under fluctuating lighting ...

Abstract Robotic vision has traditionally relied on high-performance yet resource-intensive computing solutions, which necessitate high-throughput ...

Thanks to new single-shot technology, the goROBOT3D system, developed by researchers at the Fraunhofer Institute for Applied ...

LandingAI, a pioneer in agentic vision technologies, today announced the major upgrades to Agentic Document Extraction (ADE).

Radiomics, the extraction of quantitative features from medical images, combined with AI, showed high accuracy in predicting ...

To address this problem, we propose a Centralized Feature Pyramid (CFP) network for object detection, which is based on a globally explicit centralized feature regulation. Specifically, we first ...

Therefore, this article proposes a feature-enhanced PointPillars for 3-D MMW object detection. This enhancement first integrates a multiscale feature extraction (MFE) module into the pillar feature ...

In order to enhance the accuracy of rice leaf disease detection ... Feature Fusion for Rice Disease Detection (YOLOv11-MSDFF-RiceD). The model adopts the concept of ParameterNet to design the ...