Logo detection has gradually become a research hotspot in the field of computer vision and
multimedia for its various applications, such as social media monitoring, intelligent …

Aerial object detection is a crucial task in computer vision because it plays a pivotal role in
understanding remote images. However, most Convolutional Neural Network (CNN) …

Remote sensing target detection aims to identify and locate critical targets within remote
sensing images, finding extensive applications in agriculture and urban planning. Feature …

Recently, methods based on deep learning have been successfully applied to ship detection
for synthetic aperture radar (SAR) images. Despite the development of numerous ship …

With the development of spaceflight and the exploration of extraterrestrial planets, exoplanet
crater detection has gradually gained attention. However, with the current scarcity of relevant …

Due to their complex spatial structure and diverse geometric features, achieving high-
precision and robust point cloud registration for complex Die Castings has been a significant …

The visual feature pyramid has proven its effectiveness and efficiency in target detection
tasks. Yet, current methodologies tend to overly emphasize inter-layer feature interaction …

For vehicle surveillance and communication control in ITS, it's very important to recognize
the vehicle type and sub-type. The algorithm based on lamp pairs distance and lamp shape …

In this paper, a method to recognize vehicle makes and models simultaneously from a huge
amount of surveillance images is proposed based on the vehicle frontal texture of air inlets …

Semantic segmentation of high-resolution remote sensing images provides detailed and
precise feature information, playing a pivotal role in decision-making and analysis in sectors …