30   Artículos

 
en línea
Xuesong Jin, Huiyuan Sun and Yuhang Zhang    
This research is based on an intra-frame rate control algorithm based on the Versatile Video Coding (VVC) standard, considering that there is the phenomenon of over-allocating the bitrate of the end coding tree units (CTUs) in the bit allocation process,... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuhuan Wu and Yonghong Wu    
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Sharoug Alzaidy and Hamad Binsalleeh    
In the field of behavioral detection, deep learning has been extensively utilized. For example, deep learning models have been utilized to detect and classify malware. Deep learning, however, has vulnerabilities that can be exploited with crafted inputs,... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdorreza Alavigharahbagh, Vahid Hajihashemi, José J. M. Machado and João Manuel R. S. Tavares    
In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and de... ver más
Revista: Information    Formato: Electrónico

 
en línea
Songyuan Li, Hao Zeng, Huanyu Wang and Xi Li    
Salient Object Detection (SOD) aims at identifying the most visually distinctive objects in a scene. However, learning a mapping directly from a raw image to its corresponding saliency map is still challenging. First, the binary annotations of SOD impede... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jian Guo, Shuchen Wang and Qizhi Xu    
The complexity of changeable marine backgrounds makes ship detection from satellite remote sensing images a challenging task. The ubiquitous interference of cloud and fog led to missed detection and false-alarms when using imagery-based optical satellite... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Li Li, Baihao Fang and Jie Zhu    
One of the most critical tasks for pavement maintenance and road safety is the rapid and correct identification and classification of asphalt pavement damages. Nowadays, deep learning networks have become the popular method for detecting pavement cracks,... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fan Zhao, Renjie Wei, Yu Chao, Sidi Shao and Cuining Jing    
Flying bird detection has recently attracted increasing attention in computer vision. However, compared to conventional object detection tasks, it is much more challenging to trap flying birds in infrared videos due to small target size, complex backgrou... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Gustavo Olague, Jose Armando Menendez-Clavijo, Matthieu Olague, Arturo Ocampo, Gerardo Ibarra-Vazquez, Rocio Ochoa and Roberto Pineda    
Despite recent improvements in computer vision, artificial visual systems? design is still daunting since an explanation of visual computing algorithms remains elusive. Salient object detection is one problem that is still open due to the difficulty of u... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yong Mei, Hao Chen and Shuting Yang    
High-resolution remote sensing image building target detection has wide application value in the fields of land planning, geographic monitoring, smart cities and other fields. However, due to the complex background of remote sensing imagery, some detaile... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 2     Siguiente »