115   Artículos

 
en línea
Yimin Ma, Yi Xu, Yunqing Liu, Fei Yan, Qiong Zhang, Qi Li and Quanyang Liu    
In recent years, deep convolutional neural networks with multi-scale features have been widely used in image super-resolution reconstruction (ISR), and the quality of the generated images has been significantly improved compared with traditional methods.... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qiyan Li, Zhi Weng, Zhiqiang Zheng and Lixin Wang    
The decrease in lake area has garnered significant attention within the global ecological community, prompting extensive research in remote sensing and computer vision to accurately segment lake areas from satellite images. However, existing image segmen... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shuai Lu, Haibo Chen and Yilong Teng    
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xiaobing Xu and Yaping Zhang    
Running posture estimation is a specialized task in human pose estimation that has received relatively little research attention due to the lack of appropriate datasets. To address this issue, this paper presents the construction of a new benchmark datas... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shubin Wang, Yuanyuan Chen and Zhang Yi    
The structure and function of retinal vessels play a crucial role in diagnosing and treating various ocular and systemic diseases. Therefore, the accurate segmentation of retinal vessels is of paramount importance to assist a clinical diagnosis. U-Net ha... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhendong He, Wenbin Yang, Yanjie Liu, Anping Zheng, Jie Liu, Taishan Lou and Jie Zhang    
Ensuring the safety of transmission lines necessitates effective insulator defect detection. Traditional methods often need more efficiency and accuracy, particularly for tiny defects. This paper proposes an innovative insulator defect recognition method... ver más
Revista: Information    Formato: Electrónico

 
en línea
Junyi Chen, Yanyun Shen, Yinyu Liang, Zhipan Wang and Qingling Zhang    
Aircraft detection in SAR images of airports remains crucial for continuous ground observation and aviation transportation scheduling in all weather conditions, but low resolution and complex scenes pose unique challenges. Existing methods struggle with ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xuejun Yue, Haifeng Li, Qingkui Song, Fanguo Zeng, Jianyu Zheng, Ziyu Ding, Gaobi Kang, Yulin Cai, Yongda Lin, Xiaowan Xu and Chaoran Yu    
Existing disease detection models for deep learning-based monitoring and prevention of pepper diseases face challenges in accurately identifying and preventing diseases due to inter-crop occlusion and various complex backgrounds. To address this issue, w... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Jiao Su, Yi An, Jialin Wu and Kai Zhang    
Pedestrian detection has always been a difficult and hot spot in computer vision research. At the same time, pedestrian detection technology plays an important role in many applications, such as intelligent transportation and security monitoring. In comp... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Li Wang, Xiaosong Yang and Jianjun Zhang    
For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consistency.... ver más
Revista: Applied Sciences    Formato: Electrónico

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