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cs.CV2024★ 25 cited
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson +3
This paper is about effectively utilizing synthetic data for training deep neural networks for industrial parts classification, in particular, by taking into account the domain gap…
stat.OT2024★ 6 cited
Human-Centric and Integrative Lighting Asset Management in Public Libraries: Qualitative Insights and Challenges from a Swedish Field Study
Jing Lin, Per Olof Hedekvist, Nina Mylly +4
Traditional lighting source reliability evaluations, often covering just half of a lamp's volume, can misrepresent real-world performance. To overcome these limitations,adopting ad…