Sculpture Detection Method using the Convolution Neural Network
Author:
Affiliation:
1. Dept. of Copyright Protection, Sangmyung University, Seoul, Korea
2. Dept. of Electronics Engineering, Sangmyung University, Seoul, Korea
Publisher
ACM Press
Reference11 articles.
1. Arandjelović, R., & Zisserman, A. 2012. Name that Sculpture. ICMR '12 Proceedings of the 2nd ACM International Conference on Multimedia Retrieval Article No. 3. DOI= http://doi.acm.org/10.1145/161468.16147.
2. Arandjelović, R., & Zisserman, A. 2011. Smooth object retrieval using a bag of boundaries. ICCV '11 Proceedings of the 2011 International Conference on Computer Vision Pages 375--382. DOI= https://doi.org/10.1109/iccv.2011.6126265
3. Zhang, Z. 2012. Classification of Sculpture images.
4. Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., & Lecun, Y. 2013. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. Computer Vision and Pattern Recognition
5. Girshick, R., Donahue, J., Darrell, T., & Malik, J. 2013. Rich feature hierarchies for accurate object detection and semantic segmentation. 2014 IEEE Conference on Computer Vision and Pattern Recognition. DOI= https://doi.org/10.1109/cvpr.2014.81
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