Aiming at the problems of low detection accuracy ... residual block of YOLOv4 feature extraction network is changed to deformable convolution. Third, change the loss function DIoU in YOLOv4 to EIoU.

Get Instant Summarized Text (Gist) A chip-scale laser smaller than a penny, fabricated from lithium niobate and utilizing the Pockels effect, achieves ultrafast, broad-spectrum frequency tuning at ...

Seminal work on proving the block model threshold conjecture [2] has provided rigorous conditions under which community detection is theoretically feasible. Such results are critical as they ...

It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, ...

3D motion detection uses radar to detect the distance of an object for improved accuracy and fewer false alerts compared with the standard camera. This technology also powers a bird’s eye aerial ...

Abstract: In the current deep learning research landscape, image processing technology faces significant challenges in lightweight defect detection despite its broad application in object detection.

The goal is to achieve efficient multitarget detection of everyday objects and to improve the accuracy and recall of the detection algorithm. To this end, an improved YOLOv8 algorithm (YOLOv8-CBW3) is ...

"Diagram as Code for DevOps and Cloud via Python" Streamlining Architecture Documentation in DevOps & Cloud Environments In the fast-paced world of DevOps and cloud engineering, maintaining up-to ...