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Ze-Hao Lai et al.
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Kyeong-Beom Park et al.
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Junhao Geng et al.
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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
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Dominic Waithe et al.
JOURNAL OF CELL BIOLOGY (2020)
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Klaus Fuchs et al.
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David A. Plecher et al.
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Fotios K. Konstantinidis et al.
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Jaewon Ahn et al.
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A comprehensive and systematic look up into deep learning based object detection techniques: A review
Vipal Kumar Sharma et al.
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Qiuyun Cheng et al.
IEEE ACCESS (2020)
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Pengyuan Zhou et al.
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Yanfen Li et al.
IEEE ACCESS (2020)
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Edmanuel Cruz et al.
VIRTUAL REALITY (2019)
An evaluation of deep learning based object detection strategies for threat object detection in baggage security imagery
Dhiraj et al.
PATTERN RECOGNITION LETTERS (2019)
An Automated Training of Deep Learning Networks by 3D Virtual Models for Object Recognition
Kamil Zidek et al.
SYMMETRY-BASEL (2019)
Deep-cARe: Projection-Based Home Care Augmented Reality System with Deep Learning for Elderly
Yoon Jung Park et al.
APPLIED SCIENCES-BASEL (2019)
Information hiding based on Augmented Reality
Chuanlong Li et al.
MATHEMATICAL BIOSCIENCES AND ENGINEERING (2019)
Energy-Oriented Designs of an Augmented-Reality Application on a VUZIX Blade Smart Glass
Corridon McKelvey et al.
2019 TENTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC) (2019)
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Brandon Huynh et al.
2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) (2019)
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Yining Lang et al.
2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) (2019)
Pose initialization method of mixed reality system for inspection using convolutional neural network
Yong Hwi Kim et al.
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING (2019)
Deep gesture interaction for augmented anatomy learning
Ahmad Karambakhsh et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2019)
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Wenjin Tao et al.
MANUFACTURING LETTERS (2019)
Driver information system: a combination of augmented reality, deep learning and vehicular Ad-hoc networks
Lotfi Abdi et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
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Hassan Abu Alhaija et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2018)
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Inigo Fernandez del Amo et al.
COMPUTERS IN INDUSTRY (2018)
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Dawid Polap et al.
SENSORS (2017)
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Jinmeng Rao et al.
SENSORS (2017)
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Peter Zientara et al.
IEEE CONSUMER ELECTRONICS MAGAZINE (2017)
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Xukan Ran et al.
VR/AR NETWORK '17: PROCEEDINGS OF THE 2017 WORKSHOP ON VIRTUAL REALITY AND AUGMENTED REALITY NETWORK (2017)
Mask R-CNN
Kaiming He et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Selective Search for Object Recognition
J. R. R. Uijlings et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2013)
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
David Moher et al.
INTERNATIONAL JOURNAL OF SURGERY (2010)
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