15   Artículos

 
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
Shanghao Liu, Chunjiang Zhao, Hongming Zhang, Qifeng Li, Shuqin Li, Yini Chen, Ronghua Gao, Rong Wang and Xuwen Li    
A clear understanding of the number of pigs plays a crucial role in breeding management. Computer vision technology possesses several advantages, as it is harmless and labour-saving compared to traditional counting methods. Nevertheless, the existing met... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi    
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dorra Mahouachi and Moulay A. Akhloufi    
Besides the many advances made in the facial detection and recognition fields, face recognition applied to visual images (VIS-FR) has received increasing interest in recent years, especially in the field of communication, identity authentication, public ... ver más
Revista: AI    Formato: Electrónico

 
en línea
Jiaxiong Zhou, Jian Li, Yubo Yan, Lei Wu and Hao Xu    
Large-scale facial expression datasets are primarily composed of real-world facial expressions. Expression occlusion and large-angle faces are two important problems affecting the accuracy of expression recognition. Moreover, because facial expression da... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zewei Wang, Yongjun Zhang, Chengchang Pan and Zhongwei Cui    
Principal Component Analysis Network (PCANet) is a lightweight deep learning network, which is fast and effective in face recognition. However, the accuracy of faces with occlusion does not meet the optimal requirement for two reasons: 1. PCANet needs to... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Natale Maiorana, Michelangelo Dini, Barbara Poletti, Sofia Tagini, Maria Rita Reitano, Gabriella Pravettoni, Alberto Priori and Roberta Ferrucci    
From the start of the COVID-19 pandemic, the use of surgical masks became widespread. However, they occlude an important part of the face and make it difficult to decode and interpret other people?s emotions. To clarify the effect of surgical masks on co... ver más

 
en línea
Jingyuan Hu and Zhouwang Yang    
Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty, among other factors, ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen and Mohamed I. Eldesouki    
Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific... ver más
Revista: Applied Sciences    Formato: Electrónico

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