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 ...

LandingAI, a pioneer in agentic vision technologies, today announced the major upgrades to Agentic Document Extraction (ADE). Unlike traditional optical character recognition (OCR), ADE sees a PDF or ...

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 ...