2 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
Synthetic Data Augmentation for Multi-Task Chinese Porcelain Classification: A Stable Diffusion Approach
Ziyao Ling, Silvia Mirri, Paola Salomoni +1
The scarcity of training data presents a fundamental challenge in applying deep learning to archaeological artifact classification, particularly for the rare types of Chinese porce…
Multi-task Learning for Identification of Porcelain in Song and Yuan Dynasties
Ziyao Ling, Giovanni Delnevo, Paola Salomoni +1
Chinese porcelain holds immense historical and cultural value, making its accurate classification essential for archaeological research and cultural heritage preservation. Traditio…
The Barrier of meaning in archaeological data science
Luca Casini, Marco Roccetti, Giovanni Delnevo +2
Archaeologists, like other scientists, are experiencing a data-flood in their discipline, fueled by a surge in computing power and devices that enable the creation, collection, sto…