Object detection is considered as one of the most important applications of deep learning.
However, the object detection techniques lose their effectiveness and reliability when they …

Recent studies have recently exploited knowledge distillation (KD) technique to address
time-consuming annotation task in semantic segmentation, through which one teacher …

Appearance inspection is crucial for quality control during the manufacturing of large
complex products. In-situ visual inspection based on image processing and machine …

Gabor filter is a time-frequency combined analysis method, which is suitable for detecting
local anomalies in periodic textures. Gabor-based methods mainly include the optimal …

Object tracking has become a crucial area of research in the field of intelligent perception in
recent years. Current mainstream single-object trackers utilize the method of point …

The utilization of deep learning-based vision technology has emerged as a crucial approach
in the digitalization of new power system. Nevertheless, the extensive implementation of …

The development of international Chinese language education greatly impacts the building
of a global Chinese cultural environment. This paper constructs a model structure based on …

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

Deep Learning (DL) techniques have gained significant attention in the field of object
detection. However, the susceptibility of DL models to adversarial attacks has raised …

The utilization of deep learning-based vision technology has emerged as a crucial approach
in the digitalization of new power system. Nevertheless, the extensive implementation of …