A novel image retrieval algorithm based on transfer learning and fusion features

Author:

Liu YingORCID,Peng Yanan,Lim Kengpang,Ling Nam

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference33 articles.

1. Babenko, A., Slesarev, A., Chigorin, A., et al.: Neural codes for image retrieval [C]. European Conference on Computer Vision. 584–599 (2014)

2. Bakar, S.A., Hitam, M.S.: Content-based image retrieval using SIFT for binary and greyscale images[C]. 2013 IEEE Int. Conf. Signal Image Process. Appl. 83–88, (2013)

3. Bengio, Y.: Deep learning of representations for unsupervised and transfer learning[C]. Proceeding of ICML Workshop on Unsupervised and Transfer Learning. (2012)

4. Cao, L., Wang, F.: Robust latent semantic exploration for image retrieval in social media[J]. Neurocomputing. 169, 2 December, 180–184 (2015)

5. Carvajal, J.A., Romero, D.G.: Fine-tuning based deep convolutional networks for lepidopterous genus recognition [J]. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications(CIARP), pp. 467–475, (2016)

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