Results 31 to 40 of about 6,344,658 (293)
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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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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Compensating inaccurate annotations to train 3D facial landmark localisation models [PDF]
, 2013 In this paper we investigate the impact of inconsistency in manual annotations when they are used to train automatic models for 3D facial landmark localization. We start by showing that it is possible to objectively measure the consistency of annotations
Sukno, Federico M. +2 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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Automatic 3D Cranial Landmark Positioning based on Surface Curvature Feature using Machine Learning
Knowledge Engineering and Data Science, 2022 Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims to locate landmarks automatically.
Putu Hendra Suputra +5 more
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Improving Landmark Localization with Semi-Supervised Learning [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Published as a conference paper in CVPR ...
Sina Honari +5 more
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Variational image registration using inhomogeneous regularization [PDF]
, 2014 We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
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Frontiers in Public HealthIntroductionThe need for money, the pursuit of pleasure, and the liberalized access to gambling have been documented in several pieces of literature as the drivers of gambling. Such drivers are predicated on commercialized gambling, leading to the growth
Tunde Adebisi +2 more
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