Automatic inventory of archaeological artifacts based on object detection and classification using deep and transfer learning
Datos Bibliográficos
| ID | 6421602 |
|---|---|
| Autores | Zied Mnasri (0000-0002-8929-3609), Andrea D’andrea (0000-0002-5274-0786) |
| Año | 2025 |
| Volumen | 39 |
| Páginas | e00458-e00458 |
| Fecha de publicación | 2025-09-24 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Digital Applications in Archaeology and Cultural Heritage (JOURNAL) |
| Identificadores de la revista | ISSN: 2212-0548 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.daach.2025.e00458 |
| OpenAlex | W4414478302 |
| Idioma | EN |
| Referencias citadas | 35 |
3D Surveying and Cultural Heritage · Archaeological Research and Protection · Image Processing and 3D Reconstruction
ImageNet
ImageNet classification with deep convolutional neural networks
Archaeology
A deep-learning model for predictive archaeology and archaeological community detection
Neural Networks (SOM) Applied to Inaa Data of Chemical Elements in Archaeological Ceramics from Central Amazon
Fleshing Out the Bones
An Open System for Collection and Automatic Recognition of Pottery through Neural Network Algorithms
Machine Learning Arrives in Archaeology
Evaluating consistency in typology and classification
Computer vision, archaeological classification and China's terracotta warriors
The Use of Artificial Neural Networks in Projectile Point Typology
Histories of Archaeology
Automatic feature extraction and classification of Iberian ceramics based on deep convolutional networks
Transfer of Learning Transformed
Archaeological Constructs
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |