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Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction

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Τίτλος: Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction
Συγγραφείς: Liu, Jingya, Huang, Issac, Anand, Aishwarya, Chang, Po-Hao, Huang, Yufang
Πηγή: 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) VRW Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2024 IEEE Conference on. :368-373 Mar, 2024
Relation: 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Βάση Δεδομένων: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/VRW62533.2024.00072
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      Pagination:
        PageCount: 6
        StartPage: 368
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      – TitleFull: Digital Twin in Retail: An AI-Driven Multi-Modal Approach for Real-Time Product Recognition and 3D Store Reconstruction
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            NameFull: Liu, Jingya
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            NameFull: Huang, Issac
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            NameFull: Anand, Aishwarya
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            NameFull: Chang, Po-Hao
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            NameFull: Huang, Yufang
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              M: 03
              Type: published
              Y: 2024
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              Value: 9798350374490
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