20   Artículos

 
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
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
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
Aolun Li, Long Yu and Shengwei Tian    
Due to the influence of underwater visual characteristics on the observation of underwater creatures, the traditional object detection algorithm is ineffective. In order to improve the robustness of underwater biological detection, based on the YOLOv4 de... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Willian Ney Cassol, Sylvie Daniel and Éric Guilbert    
The identification of underwater landforms represents an important role in the study of the seafloor morphology. In this context, the segmentation and characterization of underwater dunes allow a better understanding of the dynamism of the seafloor, sinc... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Iftikhar Ahmad, Yayun Yang, Yi Yue, Chen Ye, Muhammad Hassan, Xi Cheng, Yunzhi Wu and Youhua Zhang    
Insect pests are a major element influencing agricultural production. According to the Food and Agriculture Organization (FAO), an estimated 20?40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop pro... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guoqing Xia, Chuang Sun and Bo Zhao    
This paper proposes an output feedback cooperative dynamic positioning control scheme for an unactuated floating object using multiple vessels under model uncertainties and environmental disturbances. The floating object is connected to multiple vessels ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Willian Ney Cassol, Sylvie Daniel and Éric Guilbert    
The recognition of underwater dunes has a central role to ensure safe navigation. Indeed, the presence of these dynamic landforms on the seafloor represents a hazard for navigation, especially in navigation channels, and should be at least highlighted to... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Jianxi Yang, Manoranjan Dash and Sin G. Teo    
As mobile phone technology evolves quickly, people could use mobile phones to conduct business, watch entertainment shows, order food, and many more. These location-based services (LBS) require users? mobility data (trajectories) in order to provide many... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wajeeha Sultan, Nadeem Anjum, Mark Stansfield and Naeem Ramzan    
Salient-object detection is a fundamental and the most challenging problem in computer vision. This paper focuses on the detection of salient objects, especially in low-contrast images. To this end, a hybrid deep-learning architecture is proposed where f... ver más
Revista: Applied Sciences    Formato: Electrónico

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