Chapter A Comparative Study of Deep Learning Models for Symbol Detection in Technical Drawings
Symbols are a universal way to convey complex information in technical drawings since they can represent a wide range of elements, including components, materials, or relationships, in a concise and space-saving manner. Therefore, to enable a digital and automatic interpretation of pixel-based drawi...
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| Autori principali: | , , |
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| Natura: | Online |
| Lingua: | inglese |
| Pubblicazione: |
Firenze University Press
2024
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| Soggetti: | |
| Accesso online: | ONIX_20240402_9791221502893_14 |
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