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 ...

To address this challenge, FD-YOLO11, which is a YOLO11-based deep learning model with enhanced feature extraction and fusion mechanisms for attaining improved detection performance, is proposed in ...

In this article, a clustering feature constraint multiscale attention network for shadow extraction from remote sensing images is proposed. First, in addition to the pixel-level description of the ...