Neural Codes for Image Retrieval

Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM (1981)

1981

Earlier work this paper cites.

LeCun, Y., Boser, B.E., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W.E., Jackel, L.D.: Handwritten digit recognition with a back-propagation network. In: Neural Information Processing Systems. pp. 396–404 (1989)

1989

Earlier work this paper cites.

Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (2004)

2004

Earlier work this paper cites.

Chopra, S., Hadsell, R., LeCun, Y.: Learning a similarity metric discriminatively, with application to face verification. In: Computer Vision and Pattern Recognition (2005)

2005

Earlier work this paper cites.

Nistér, D., Stewénius, H.: Scalable recognition with a vocabulary tree. In: Computer Vision and Pattern Recognition (2006)

2006

Earlier work this paper cites.

Yang, L., Jin, R.: Distance metric learning: A comprehensive survey. Michigan State Universiy 2 (2006)

2006

Earlier work this paper cites.

Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: Computer Vision and Pattern Recognition (2007)

2007

Earlier work this paper cites.

Jégou, H., Douze, M., Schmid, C.: Hamming embedding and weak geometric consistency for large scale image search. In: European Conference on Computer Vision (2008)

2008

Earlier work this paper cites.

Kumar, N., Berg, A.C., Belhumeur, P.N., Nayar, S.K.: Attribute and simile classifiers for face verification. In: International Conference on Computer Vision. pp. 365–372 (2009)

2009

Earlier work this paper cites.

Li, Y., Crandall, D., Huttenlocher, D.: Landmark classification in large-scale image collections. In: International Conference on Computer Vision (2009)

2009

Cited alongside, same era.

Wang, G., Hoiem, D., Forsyth, D.A.: Learning image similarity from flickr groups using stochastic intersection kernel machines. In: International Conference on Computer Vision (2009)

2009

Cited alongside, same era.

A Berg and J Deng and and L Fei-Fei: Large scale visual recognition challenge (ILSVRC). http://www.image-net.org/challenges/LSVRC/2010/

2010

Cited alongside, same era.

Perronnin, F., Sánchez, J., Mensink, T.: Improving the fisher kernel for large-scale image classification. In: European Conference on Computer Vision (2010)

2010

Cited alongside, same era.

Torresani, L., Szummer, M., Fitzgibbon, A.W.: Efficient object category recognition using classemes. In: European Conference on Computer Vision (2010)

Arandjelović, R., Zisserman, A.: All about VLAD. In: Computer Vision and Pattern Recognition (2013)

2013

Later among the works it cites.

Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: Decaf: A deep convolutional activation feature for generic visual recognition. CoRR abs/1310.1531 (2013)

Original

2013

Later among the works it cites.

Ge, T., Ke, Q., Sun, J.: Sparse-coded features for image retrieval. In: British Machine Vision Conference (2013)

2013

Later among the works it cites.

Simonyan, K., Parkhi, O.M., Vedaldi, A., Zisserman, A.: Fisher Vector Faces in the Wild. In: British Machine Vision Conference (2013)

2013

Later among the works it cites.

Tolias, G., Avrithis, Y., Jégou, H.: To aggregate or not to aggregate: selective match kernels for image search. In: International Conference on Computer Vision (2013)

2013