GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph

Author:

El Vaigh Cheikh Brahim1,Garcia Noa2,Renoust Benjamin3,Chu Chenhui4,Nakashima Yuta2,Nagahara Hajime2

Affiliation:

1. Univ. Rennes, CNRS, IRISA, Lannion, France

2. Osaka University, Osaka, Japan

3. Median Technologies & Osaka University, Valbonne, France

4. Kyoto University & Osaka University, Osaka, Japan

Publisher

ACM

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An intelligent epistemological tool for audiovisual analysis and mediation of video art archive;Journal of Cultural Heritage;2024-07

2. GOYA: Leveraging Generative Art for Content-Style Disentanglement;Journal of Imaging;2024-06-26

3. Towards A Hybrid Approach for Medieval Illuminations Analysis;2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2023-11-08

4. Semantic technology for cultural heritage: a bibliometric-based review;Global Knowledge, Memory and Communication;2023-08-22

5. Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis;Proceedings of the 2023 ACM International Conference on Multimedia Retrieval;2023-06-12

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