Results 31 to 40 of about 919,704 (194)
Livestock detection in aerial images using a fully convolutional network
Computational Visual Media, 2019 In order to accurately count the number of animals grazing on grassland, we present a livestock detection algorithm using modified versions of U-net and Google Inception-v4 net. This method works well to detect dense and touching instances.
Liang Han, Pin Tao, Ralph R. Martin
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Customer relationship management in banking industry: Modern approach [PDF]
Industrija, 2017 Due to fierce competition in the banking sector, where the competitive struggle to win larger market share and attract the largest possible number of customers is constantly being led, and taking into account poorly differentiated offer of banks ...
Cvijović Jelena +2 more
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BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [PDF]
European Conference on Computer Vision, 2018 Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance.
Changqian Yu +5 more
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CCNet: Criss-Cross Attention for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2018 Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet) for obtaining such contextual information in a more effective and efficient way.
Zilong Huang +6 more
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Multi-Organ Gland Segmentation Using Deep Learning
Frontiers in Medicine, 2019 Clinical morphological analysis of histopathology samples is an effective method in cancer diagnosis. Computational pathology methods can be employed to automate this analysis, providing improved objectivity and scalability.
Thomas Binder +5 more
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Quantitative Comparison of Deformable Models in Range Segmentation
Cybernetics and Information Technologies, 2015 In this paper we segment range images by applying three deformable models (the classical Active Contour, the adaptive active contour and the Level Set method). These three methods are used to segment images with planar and curved surface scenes. Then the
Amine Khaldi, Hayet Farida Merouani
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PASOS Revista de Turismo y Patrimonio Cultural, 2016 Film tourism has emerged as a driver of tourism development for many destinations. The objective of this research is to evaluate the effects of a film tour on the: (1) relative size of various clusters of visitors; (2) overall satisfaction; (3 ...
Ángel Millán +2 more
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Shipin gongye ke-jiPlant polyphenols are a class of plant secondary metabolites containing several phenolic hydroxyl groups in their molecular structure, which have physiological properties such as anti-inflammatory, anticancer, antibacterial, etc., and can be used as ...
Nan WANG +6 more
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Do Culture-based Segments Predict Selection of Market Strategy?
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015 Academists and practitioners have already acknowledged the importance of unobservable segmentation bases (such as psychographics) yet still focusing on how well these bases are capable of describing relevant segments (the identifiability criterion ...
Veronika Jadczaková
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Frontiers in Neuroscience, 2014 Ballistocardiogram (BCG) artifact remains a major challenge that renders electroencephalographic (EEG) signals hard to interpret in simultaneous EEG and functional MRI (fMRI) data acquisition.
Hongjing eXia +2 more
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