Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference42 articles.
1. Anwer, R., Khan, F., van de Weijer, J., Laaksonen, J.: Combining holistic and part-based deep representations for comp‘utational painting categorization. In: Proceedings of ACM International Conference on Multimedia Retrieval 2016, pp. 339–342 (2016)
2. Bar, Y., Levy, N., Wolf, L.: Classification of artistic styles using binarized features derived from a deep neural network. In: Proceedings of Workshop at the European Conference on Computer Vision 2014, pp. 71–84 (2014)
3. Bergamo, A., Torresani, L., Fitzgibbon, A.W.: Picodes: learning a compact code for novel-category recognition. In: Proceedings of Advances in Neural Information Processing Systems 2011, pp. 2088–2096 (2011)
4. Cetinic, E., Grgic, S.: Genre classification of paintings. In: Proceedings of International Symposium ELMAR 2016, pp. 201–204 (2016)
5. Cetinic, E., Lipic, T., Grgic, S.: Fine-tuning convolutional neural networks for fine art classification. Expert Syst. Appl. 114, 107–118 (2018)
Cited by
21 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