Results 1 to 10 of about 2,277,084 (288)
Saliency Detection with Moving Camera via Background Model Completion [PDF]
Sensors, 2021 Detecting saliency in videos is a fundamental step in many computer vision systems. Saliency is the significant target(s) in the video. The object of interest is further analyzed for high-level applications. The segregation of saliency and the background
Yu-Pei Zhang, Kwok-Leung Chan
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Knowledge Graph Completion Model Based on Quaternion Capsule Network [PDF]
Jisuanji gongcheng, 2022 Knowledge Graph(KG) uses RDF triplets to describe relationships as well as head and tail entities in the real world, namely (head entity, relationship, tail entity) or (subject, predicate, object).In order to complete the missing fact triplets in ...
CHEN Heng, WANG Siyi, LI Guanyu, QI Ruihua, YANG Chen, WANG Weimei
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The complete clinician model [PDF]
Baylor University Medical Center Proceedings, 2020 Historically, medical education has focused on acquiring knowledge of basic science and clinical medicine. Relationship management skills are an essential aspect of excellent clinicians that may have been overlooked in the educational curriculum and undervalued in practice.
Jared W, Henricksen +4 more
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VCNet: A generative model for volume completion
Visual Informatics, 2022 We present VCNet, a new deep learning approach for volume completion by synthesizing missing subvolumes. Our solution leverages a generative adversarial network (GAN) that learns to complete volumes using the adversarial and volumetric losses.
Jun Han, Chaoli Wang
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An ultraviolet completion for the Scotogenic model
Physics Letters B, 2021 The Scotogenic model is an economical scenario that generates neutrino masses at the 1-loop level and includes a dark matter candidate. This is achieved by means of an ad-hoc Z2 symmetry, which forbids the tree-level generation of neutrino masses and ...
Pablo Escribano, Avelino Vicente
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Logging Data Completion Based on an MC-GAN-BiLSTM Model
IEEE Access, 2022 Due to environmental interference and operational errors, problems such as incomplete and random missing logging data have occurred during the geophysical logging data collection process.
Liang Guo +5 more
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Few-Shot Knowledge Graph Completion Model Based on Relation Learning
Applied Sciences, 2023 Considering the complexity of entity pair relations and the information contained in the target neighborhood in few-shot knowledge graphs (KG), existing few-shot KG completion methods generally suffer from insufficient relation representation learning ...
Weijun Li +4 more
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A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion
Information, 2022 Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
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MEM-KGC: Masked Entity Model for Knowledge Graph Completion With Pre-Trained Language Model
IEEE Access, 2021 The knowledge graph completion (KGC) task aims to predict missing links in knowledge graphs. Recently, several KGC models based on translational distance or semantic matching methods have been proposed and have achieved meaningful results.
Bonggeun Choi +2 more
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Image-based Model Completion [PDF]
Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007), 2007 Geometric models created from range sensors are usually incomplete. Considerable effort has been made to fix this problem, ranging from manual repairing to geometric interpolation. We propose using multi-view stereo to complete such models. Our approach is practical and convenient because when scanning and object or environment one usually takes ...
Brunton, Alan +2 more
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