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3D ResNets for 3D Object Classification
2018During the last few years, deeper and deeper networks have been constantly proposed for addressing computer vision tasks. Residual Networks (ResNets) are the latest advancement in the field of deep learning that led to remarkable results in several image recognition and detection tasks. In this work, we modify two variants of the original ResNets, i.e.
Anastasia Ioannidou +3 more
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3D-dvshop: a 3D Dynamic Virtual Shop
2002In recent years, virtual reality has shown all its potential in a large spectrum of applications: training, simulation, CAD, and so on. Although existing technologies allow the creation of immersive virtual reality browsing experiences, little has been devoted to applying this new tool to electronic commerce (e-commerce) since almost all e-commerce web
SANNA, Andrea +3 more
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3D-to-2D-to-3D Conscious Learning
2022 IEEE International Conference on Consumer Electronics (ICCE), 2022openaire +2 more sources
3D effects box for bridging 3D scan and 3D print
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication, 2013Hiroya Tanaka +5 more
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On-chip inductance models: 3D or not 3D?
Proceedings 2002 Design, Automation and Test in Europe Conference and Exhibition, 2003Tao Lin +2 more
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TEVAR: 2D/3D- oder 3D/3D-Fusionsbildgebung?
Gefäßmedizin Scan - Zeitschrift für Angiologie, Gefäßchirurgie, diagnostische und interventionelle Radiologie, 2020openaire +1 more source