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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...
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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...
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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...
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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...
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Junxiu Zhou, Yangyang Tao and Xian Liu
The fundamental challenge of salient object detection is to find the decision boundary that separates the salient object from the background. Low-rank recovery models address this challenge by decomposing an image or image feature-based matrix into a low...
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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 ...
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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...
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Vassilios Krassanakis, Matthieu Perreira Da Silva and Vincent Ricordel
The present article describes an experimental study towards the examination of human visual behavior during the observation of unmanned aerial vehicles (UAVs) videos. Experimental performance is based on the collection and the quantitative & qualitat...
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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...
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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...
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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...
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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...
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Fangxiong Chen, Guoheng Huang, Jiaying Lan, Yanhui Wu, Chi-Man Pun, Wing-Kuen Ling and Lianglun Cheng
The fine-grained image classification task is about differentiating between different object classes. The difficulties of the task are large intra-class variance and small inter-class variance. For this reason, improving models? accuracies on the task he...
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