Strip steel surface defect detection is a critical step in the production field of the steel industry
and a vital guarantee to improve the quality of strip steel production. However, due to the …

针对传统方式识别交通标志算法存在的检测精度较低的问题, 提出了一种改进YOLOv5
算法的交通标志识别方法. 首先改进YOLOv5 算法的损失函数, 使用EIOU 损失函数代替YOLOv5 …

近年来针对合成孔径雷达(synthetic aperture radar, SAR) 图像中缺乏颜色和纹理细节的舰船
检测技术在深度学习领域中得到了广泛研究, 利用深度学习技术可以有效避免传统的复杂特征 …

Oriented object detection (OOD) aims to precisely detect the objects with arbitrary orientation
in remote sensing images (RSIs). Up to now, most of the bounding box regression (BBR) …

SSD and YOLOv5 are the one-stage object detector representative algorithms. An improved
one-stage object detector based on the YOLOv5 method is proposed in this paper, named …

Few-shot aerial image object detection aims to rapidly detect object instances of novel
category in aerial images by using few labeled samples. However, due to the complex …

The detection of traffic signs is easily affected by changes in the weather, partial occlusion,
and light intensity, which increases the number of potential safety hazards in practical …

Accurate, rapid, and smart pest recognition and detection are important for crop protection
and management. Existing deep learning-based pest detection algorithms often require high …

Road pavement damage affects driving comfort markedly, threatens driving safety, and may
even cause traffic accidents. The traffic management department conventionally captures …

In computer vision, timely and accurate execution of object identification tasks is critical.
However, present road damage detection approaches based on deep learning suffer from …