Small object detection plays an important role in computer vision. However, in the existing
methods, the detections of small objects are prone to error detection and missing detection …

In view of the poor accuracy of mainstream object detection algorithms in detecting tiny
objects, A tiny object detection algorithm based on improved YOLOv5 is proposed. The main …

Small object detection is one of the difficulties in the development of computer vision,
especially in the case of complex image backgrounds, and the accuracy of small object …

As a special scene of object detection task, small object detection has been applied to some
remote shooting scenes, especially in the field of unmanned aerial vehicle (UAV) object …

Small object detection is one of the challenging tasks in computer vision. Most of the existing
small object detection models cannot fully extract the characteristics of small objects within …

An improved small object detection method based on YOLOv5 algorithm is presented to
solve the problems of dense and uneven small target samples, less extractable feature …

Although the current deep learning technology has made amazing progress in the field of
large and medium object detection, small object detection is still a challenging problem …

The scenario considered in this paper is detecting small targets using an unmanned aerial
vehicle (UAV) equipped with a pan-tilt-zoom (PTZ) camera. We reviewed, compared and …

Aiming at the low detection performance of YOLOv3 algorithm in remote sensing image
small target detection, an improved YOLOv3 remote sensing image small target detection …

Object detection is a hot and popular research area in computer vision. Although object
detection algorithm will be greatly speeding up with Deep Neural Networks, like YOLOv3 …