IMPROVED YOLOV5S WITH COORDINATE ATTENTION FOR SMALL AND DENSE OBJECT DETECTION FROM OPTICAL REMOTE SENSING IMAGES

Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images

The objects in optical high-resolution remote sensing images (HRRSIs) are usually tiny, dense, and exist in complex backgrounds, which brings great challenges to accurate object detection.This article presents an improved YOLOv5s network-based technique for remote sensing object recognition to overcome these difficulties.First, unnecessary residual

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QCA rules as a concept representative

In this paper, we explore a chain of nano-rings connected by optical fibers (see Fig.1).When in an excited or a ground state, an electron in each ring dictates a well-defined QCA rule of its ability to absorb or emit a photon.In other words, QCA rules, which are spanned by quantum Castile Soaps laws, are carried out by a random process of the creat

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Transcriptomic analysis of human retinal detachment reveals both inflammatory response and photoreceptor death.

BackgroundRetinal detachment often leads to a severe and permanent loss of vision and its therapeutic management remains to this day exclusively surgical.We have used surgical specimens to perform a differential analysis of the transcriptome of human retinal tissues following detachment in order to identify new potential pharmacological targets tha

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