Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural NetworkThe paper proposes an approach to
detect discrete
objects on images, namely buildings using the U
Deep learning based approach for vertebrae detection on spine X-RAY
from standard
object detection methods is that proposed ones (methods) are not limited to finding a
Surface Eddy Current Probes: Excitation Systems of the Optimal Electromagnetic Field (Review) surrogate optimization for cases of
moving testing
objects taking into account the speed effect
On the Implementation of ALFA – Agglomerative Late Fusion Algorithm for Object Detection – an agglomerative late fusion algorithm for
object detection. ALFA agglomeratively clusters detector predictions
Visual target detection algorithm YOLO and its application areasYOLO (You Only Look Once) is an
object detection algorithm based on deep neural networks, which
Status and perspectives of Mini-MegaTORTORA wide-field monitoring system with high temporal resolution-field monitoring cameras with sub-second temporal resolution to look for optical components of GRBs, fast-
moving Status and perspectives of the Mini-MegaTORTORA wide-field monitoring system with high temporal resolution-field monitoring cameras with sub-second temporal resolution to look for optical components of GRBs, fast-
moving Traffic sign detection and problems in the field of computer visionObject detection is a typical task of computer vision.
This paper presents some results
Real-time object detection based on CNN or videos. The real-time
object detection has been used in many fields, such as people counting, unmanned