|
|
|
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
ver más
|
|
|
|
|
|
|
Uraiwan Buatoom and Muhammad Usman Jamil
In image classification, various techniques have been developed to enhance the performance of principal component analysis (PCA) dimension reduction techniques with guiding weighting features to remove redundant and irrelevant features. This study propos...
ver más
|
|
|
|
|
|
|
Feng Peng and Kai Li
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi...
ver más
|
|
|
|
|
|
|
Run Zhang, Chengbing He, Lianyou Jing, Chaopeng Zhou, Chao Long and Jiachao Li
Underwater acoustic channels, influenced by time-varying, space-varying, frequency-varying, and multipath effects, pose significant interference challenges to underwater acoustic communication (UWAC) signals, especially in non-cooperative scenarios. The ...
ver más
|
|
|
|
|
|
|
Huan Wang, Shi Qiu, Huping Ye and Xiaohan Liao
Plant growth is inevitably affected by diseases, and one effective method of disease detection is through the observation of leaf changes. To solve the problem of disease detection in complex backgrounds, where the distinction between plant diseases is h...
ver más
|
|
|
|
|
|
|
Xin Zuo, Jiao Chu, Jifeng Shen and Jun Sun
Combining disease categories and crop species leads to complex intra-class and inter-class differences. Significant intra-class difference and subtle inter-class difference pose a great challenge to high-precision crop disease classification tasks. To th...
ver más
|
|
|
|
|
|
|
Hongtao Zhu, Huahu Xu, Xiaojin Ma and Minjie Bian
Facial Expression Recognition (FER) can achieve an understanding of the emotional changes of a specific target group. The relatively small dataset related to facial expression recognition and the lack of a high accuracy of expression recognition are both...
ver más
|
|
|
|
|
|
|
Wenzuo Qiao, Wenjuan Ren and Liangjin Zhao
With the development and popularization of unmanned aerial vehicles (UAVs) and surveillance cameras, vehicle re-identification (ReID) task plays an important role in the field of urban safety. The biggest challenge in the field of vehicle ReID is how to ...
ver más
|
|
|
|
|
|
|
Jiaping Wu, Zhaoqiang Xia and Xiaoyi Feng
In recent years, adversarial examples have aroused widespread research interest and raised concerns about the safety of CNNs. We study adversarial machine learning inspired by a support vector machine (SVM), where the decision boundary with maximum margi...
ver más
|
|
|
|
|
|
|
Yang Liu, Hao Sheng, Shuai Wang, Yubin Wu and Zhang Xiong
The person re-identification (re-ID) problem has attracted growing interest in the computer vision community. Most public re-ID datasets are captured by multiple non-overlapping cameras, and the same person may appear dissimilar in different camera views...
ver más
|
|
|
|