Painting style-based recognition of potters
Using Convolutional Neural Network Techniques
Dados Bibliográficos
| ID | 5362579 |
|---|---|
| Autores | Xiuyan Jin (Chinese Academy of Social Sciences, autor correspondente), Xin Jin (0000-0003-4590-5834), Xinwei Li (0000-0003-0555-2624, Chinese Academy of Social Sciences, autor correspondente) |
| Ano | 2025 |
| Volume | 17 |
| Fascículo | 5 |
| Data de publicação | 2025-05-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Archaeological and Anthropological Sciences (JOURNAL) |
| Identificadores do periódico | ISSN: 1866-9557 • E-ISSN: 1866-9565 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12520-025-02206-6 |
| OpenAlex | W4409295632 |
| Idioma | EN |
| Referências citadas | 22 |
Archaeology · Art · Artificial neural network · Convolutional neural network · Geography · Painting · Pattern recognition (psychology · Style (visual arts · Visual arts · 3D Surveying and Cultural Heritage · Computer Science · Conservation Techniques and Studies · Cultural Heritage Materials Analysis · Artificial Intelligence
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| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |