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A deep-learning model for predictive archaeology and archaeological community detection

Interdisciplinary Studies

A deep-learning model for predictive archaeology and archaeological community detection

A. Resler, R. Yeshurun, et al.

This research by Abraham Resler, Reuven Yeshurun, Filipe Natalio, and Raja Giryes showcases a groundbreaking metric learning-based CNN that trains on an extensive archaeological dataset. It not only matches expert archaeologists' accuracy in artifact identification but also reveals new connections across historical sites, demonstrated through intriguing case studies.

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