Loop detection constitutes an indispensable component in robotics and autonomous driving
navigation systems. Extant literature has predominantly focused on extracting essential …

Deep Neural Network (DNN)-based object detection achieved great success in a variety of
scenarios. However, adversarial examples can cause catastrophic mistakes in DNNs …

Data augmentation is a popular technique used to increase the amount of training data and
improve model generalization in the contrastive learning framework. However, traditional …

The detection of targets in UAV images has emerged as a prominent research area in
computer vision. Accurate target detection is crucial for various UAV applications. However …

Unmanned Aerial Vehicles (UAVs) have become increasingly prevalent in various
applications, ranging from surveillance and monitoring to infrastructure inspection. The …

Economic growth is inseparable from the construction of infrastructural facilities. In daily
infrastructure construction and production, it is crucial to ensure the safety of construction …

As a traditional art form with distinctive regional and national characteristics, Mongolian
partterns are an important part of Mongolian culture. Most of the traditional Mongolian …

In the field of autonomous aerial robotics, aerial drones or unmanned aerial vehicles (UAVs)
find extensive application in target surveillance for various purposes, owing to their …

Onion powder has been frequently adulterated with cheaper materials to boost revenues for
scammers. The effective technique is necessary for the application of authentication of onion …

Object detection using drone-captured aerial images holds great significance for real-time
traffic detection and control by traffic management authorities. This paper introduces a novel …