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