Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learnin...
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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In quantum machine field, detecting two-dimensional (2D) materials in Silicon chips is one of the most critical problems. Instance segmentation can be considered as a potential approach to solve this problem. However, similar to other deep learning methods, the instance segmentation requires a large scale training dataset and high quality annotatio...
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Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
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TN_cdi_proquest_journals_2672169326
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2672169326
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2331-8422
