SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19781-9_31
Reference55 articles.
1. Lecture Notes in Computer Science;L Bossard,2014
2. Cai, S., Zuo, W., Zhang, L.: Higher-order integration of hierarchical convolutional activations for fine-grained visual categorization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 511–520 (2017)
3. Lecture Notes in Computer Science;F Cakir,2018
4. Cao, Z., Long, M., Wang, J., Yu, P.S.: HashNet: Deep learning to hash by continuation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5608–5617 (2017)
5. Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 213–229 (2020)
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