Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference40 articles.
1. Agostinelli, F., Hoffman, M. D., Sadowski, P. J., & Baldi, P. (2014). Learning activation functions to improve deep neural networks. CoRR abs/1412.6830.
2. Arandjelovic, R., Gronat, P., Torii, A., Pajdla, T., & Sivic, J. (2018). Net VLAD: CNN architecture for weakly supervised place recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1437–1451.
3. Azizpour, H., Razavian, A. S., Sullivan, J., Maki, A., & Carlsson, S. (2016). Factors of transferability for a generic convnet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(9), 1790–1802.
4. Babenko, A., Slesarev, A., Chigorin, A., & Lempitsky, V. S. (2014). Neural codes for image retrieval. In European conference on computer vision (pp. 584–599).
5. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-up robust features (SURF). In Computer vision and image understanding (pp. 346–359).
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