Results 31 to 40 of about 35,641 (264)
A Hybrid Approach for Landmark Recognition using Deep Local Features and Residual Network-50 [PDF]
ITM Web of Conferences, 2021 As smartphones and mobile data become universal in modern society, the opportunities to interact with the real world would grow tremendously. Latest Technologies such as Oculus Rift and Google Glass attempt to bridge the gap between the virtual and the ...
Nimbare Nishant +3 more
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BMC Bioinformatics, 2022 Background Identification of biomarkers, which are measurable characteristics of biological datasets, can be challenging. Although amplicon sequence variants (ASVs) can be considered potential biomarkers, identifying important ASVs in high-throughput ...
Josip Rudar +4 more
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ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 In the visual fashion clothing analysis, many researchers are attracted with the success of deep learning concepts. In this work, we introduce a multi-staged feature-attentive network to attain clothing category classification and attribute prediction ...
Majuran Shajini, Amirthalingam Ramanan
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Sugar Intake Elicits Intelligent Searching Behavior in Flies and Honey Bees
Frontiers in Behavioral Neuroscience, 2018 We present a comparison of the sugar-elicited search behavior in Drosophila melanogaster and Apis mellifera. In both species, intake of sugar-water elicits a complex of searching responses.
Axel Brockmann +10 more
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Learning Robust Shape-Indexed Features for Facial Landmark Detection
Applied Sciences, 2022 In facial landmark detection, extracting shape-indexed features is widely applied in existing methods to impose shape constraint over landmarks. Commonly, these methods crop shape-indexed patches surrounding landmarks of a given initial shape.
Xintong Wan, Yifan Wu, Xiaoqiang Li
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The parahippocampal place area and hippocampus encode the spatial significance of landmark objects
NeuroImage, 2021 Landmark objects are points of reference that can anchor one's internal cognitive map to the external world while navigating. They are especially useful in indoor environments where other cues such as spatial geometries are often similar across locations.
Liwei Sun +3 more
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Impact of Learning Methods on Spatial Knowledge Acquisition
Frontiers in Psychology, 2020 Research on the acquisition of spatial knowledge not only enriches our understanding of the theory of spatial knowledge representation but also creates practical value for the application of spatial knowledge.
Xiaohe Qiu +6 more
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Data in Brief, 2020 Open and Distance Learning (ODL) students rely majorly on the use of Information, Communication and Technology (ICT) tools for online facilitation and other activities supporting learning.
Oladiran Tayo Arulogun +3 more
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Deep Learning-Based Auricular Point Localization for Auriculotherapy
IEEE Access, 2022 Auriculotherapy is one of the main forms of treatment in Traditional Chinese Medicine, whose potential as an alternative medicine for both health evaluation and disease treatment has been reported in many cases. However, its efficacy highly relies on the
Xiaoyan Sun +4 more
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Non-rigid registration guided by landmarks and learning [PDF]
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012 Registration methods frequently rely on prior information in order to generate anatomical meaningful transformations between medical scans. In this paper, we propose a novel intensity based non-rigid registration framework, which is guided by landmarks and a regularizer based on Principle Component Analysis (PCA). Unlike existing methods in this domain,
Jutta Eckl +3 more
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