The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …

Traditional target detection algorithms have difficulty to adapt complex environmental
changes and have limited applicable scenarios. However, the deep-learning-based target …

Remote sensing targets have different dimensions, and they have the characteristics of
dense distribution and a complex background. This makes remote sensing target detection …

Remote sensing scene understanding is crucial for extracting valuable information from high-
resolution images, including object detection and classification. Traditional object detection …

为了解决红外图像特征少, 对比度不佳导致目标检测时精度低的问题, 采用增加一个额外的预测
特征层的方法, 以提高原始YOLOv5 在红外图像中的识别率; 通过添加坐标注意力机制 …

Autonomous car is a vehicle that can guide itself without human intervention. Various types
of rudderless vehicles are being developed. Future systems where computers take over the …

In recent years, pedestrian and vehicle detection at night has become an important subject
of computer vision applications. Because the environment light is weak at night, the common …

This study uses the video image information in sports video image analysis to realize
scientific sports training. In recent years, game video image analysis has referenced …

In order to improve the accuracy of fire identification based on video in the Internet-of-Things
environment, this article proposes a new fire identification algorithm by merging fire …

Ship collision avoidance (SCA) is an important technique in the field of decision-making in
marine navigation. Although some promising solutions have been developed recently, there …