Publisher
Springer Science and Business Media LLC
Reference27 articles.
1. Arora, R.S., Elgammal, A.: Towards automated classification of fine-art painting style: a comparative study. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 3541–3544. IEEE (2012)
2. Bar, Y., Levy, N., Wolf, L.: Classification of artistic styles using binarized features derived from a deep neural network. In: European conference on computer vision, pp. 71–84. Springer (2014)
3. Bianco, S., Mazzini, D., Napoletano, P., Schettini, R.: Multitask painting categorization by deep multibranch neural network. Expert Syst. Appl. (2019)
4. Bianconi, F., Bello-Cerezo, R.: Evaluation of visual descriptors for painting categorisation. In: IOP Conference Series: Materials Science and Engineering, vol. 364, p. 012037. IOP Publishing (2018)
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
6 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. Identifying Artists from Paintings Using Deep Learning Models;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28
2. An Artificial Intelligence System for Automatic Recognition of Punches in Fourteenth-Century Panel Painting;IEEE Access;2023
3. Multidimensional analysis of particles;Iran Journal of Computer Science;2022-08-01
4. Big Transfer Learning for Fine Art Classification;Computational Intelligence and Neuroscience;2022-05-31
5. Recognizing the style of a fine-art painting with EfficientNet and Transfer learning;2022 7th International Conference on Image and Signal Processing and their Applications (ISPA);2022-05-08