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We investigate the gains in precision and speed, that can be obtained by using Convolutional Networks (ConvNets) for on-the-fly retrieval - where classifiers are learnt at run time for a textual query from downloaded images, and used to rank large image or video datasets.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, “Gradient-based learning applied to document recognition,” Proceedings of the IEEE , vol. 86, no. 11, pp. 2278–2324, 1998
1998
Earlier work this paper cites.
J. Sivic and A. Zisserman, “Video Google: A text retrieval approach to object matching in videos,” in Proc. ICCV , vol. 2, 2003, pp. 1470–1477
2003
Earlier work this paper cites.
D. Nister and H. Stewenius, “Scalable recognition with a vocabulary tree,” in Proc. CVPR , 2006, pp. 2161–2168
2006
Earlier work this paper cites.
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, “Object retrieval with large vocabularies and fast spatial matching,” in Proc. CVPR , 2007
2007
Earlier work this paper cites.
S. Shalev-Shwartz, Y. Singer, and N. Srebro, “Pegasos: Primal estimated sub-gradient SOlver for SVM,” in Proc. ICML , vol. 227, 2007
2007
Earlier work this paper cites.
H. Jégou, M. Douze, and C. Schmid, “Hamming embedding and weak geometric consistency for large scale image search,” in Proc. ECCV , 2008, pp. 304–317
2008
Earlier work this paper cites.
A. Torralba, R. Fergus, and W. T. Freeman, “80 million tiny images: a large dataset for non-parametric object and scene recognition,” IEEE PAMI , 2008
2008
Earlier work this paper cites.
M. J. Huiskes and M. S. Lew, “The mir flickr retrieval evaluation,” in MIR ’08: Proceedings of the 2008 ACM International Conference on Multimedia Information Retrieval , 2008
2008
Earlier work this paper cites.
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “Imagenet: A large-scale hierarchical image database,” in Proc. CVPR , 2009
2009
Earlier work this paper cites.
Y. Liu, D. Xu, I. W. Tsang, and J. Luo, “Using large-scale web data to facilitate textual query based retrieval of consumer photos,” in Proceedings of the 17th ACM International Conference on Multimedia , ser. MM ’09, 2009, pp. 55–64
2009
Earlier work this paper cites.
M. Raginsky and S. Lazebnik, “Locality sensitive binary codes from shift-invariant kernels,” in NIPS , 2009
2009
Earlier work this paper cites.
H. Jégou, M. Douze, C. Schmid, and P. Pérez, “Aggregating local descriptors into a compact image representation,” in Proc. CVPR , 2010
2010
Earlier work this paper cites.
F. Perronnin, J. Sánchez, and T. Mensink, “Improving the Fisher kernel for large-scale image classification,” in Proc. ECCV , 2010
2010
Cited alongside, same era.
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, “The PASCAL Visual Object Classes (VOC) challenge,” IJCV , vol. 88, no. 2, pp. 303–338, 2010
2010
Cited alongside, same era.
M. J. Huiskes, B. Thomee, and M. S. Lew, “New trends and ideas in visual concept detection: The mir flickr retrieval evaluation initiative,” in MIR ’10: Proceedings of the 2010 ACM International Conference on Multimedia Information Retrieval , 2010, pp. 527–536
2010
Cited alongside, same era.
K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman, “The devil is in the details: an evaluation of recent feature encoding methods,” in Proc. BMVC. , 2011
2011
Cited alongside, same era.
J. Sánchez, F. Perronnin, and T. Emídio de Campos, “Modeling the spatial layout of images beyond spatial pyramids,” Pattern Recognition Letters , vol. 33, no. 16, pp. 2216–2223, 2012
2012
Later among the works it cites.
B. Fernando and T. Tuytelaars, “Mining multiple queries for image retrieval: On-the-fly learning of an object-specific mid-level representation,” in Proc. ICCV , 2013
2013
Later among the works it cites.
2013
Later among the works it cites.
2013
Later among the works it cites.
R. Arandjelović and A. Zisserman, “All about VLAD,” in Proc. CVPR , 2013
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2011
Cited alongside, same era.
J. Sánchez and F. Perronnin, “High-dimensional signature compression for large-scale image classification,” in Proc. CVPR , 2011
2011
Cited alongside, same era.
2012
Cited alongside, same era.
K. Chatfield and A. Zisserman, “Visor: Towards on-the-fly large-scale object category retrieval,” in Proc. ACCV , ser. Lecture Notes in Computer Science. Springer, 2012
2012
Cited alongside, same era.
O. M. Parkhi, A. Vedaldi, and A. Zisserman, “On-the-fly specific person retrieval,” in International Workshop on Image Analysis for Multimedia Interactive Services . IEEE, 2012
2012
Cited alongside, same era.
F. Perronnin, Z. Akata, Z. Harchaoui, and C. Schmid, “Towards good practice in large-scale learning for image classification,” in Proc. CVPR , 2012, pp. 3482–3489
2012
Cited alongside, same era.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet classification with deep convolutional neural networks,” in NIPS , 2012, pp. 1106–1114
2012
Cited alongside, same era.
R. Arandjelović and A. Zisserman, “Three things everyone should know to improve object retrieval,” in Proc. CVPR , 2012
2012
Cited alongside, same era.
2013
Later among the works it cites.
Y. Jia, “Caffe: An open source convolutional architecture for fast feature embedding,” http://caffe.berkeleyvision.org/ , 2013
2013
Later among the works it cites.
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, “Return of the devil in the details: Delving deep into convolutional nets,” in Proc. BMVC. , 2014
2014
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2014
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K. Simonyan, A. Vedaldi, and A. Zisserman, “Learning local feature descriptors using convex optimisation,” IEEE PAMI , 2014
2014
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O. M. Parkhi, K. Simonyan, A. Vedaldi, and A. Zisserman, “A compact and discriminative face track descriptor,” in Proc. CVPR . IEEE, 2014
2014
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H. Jégou, T. Furon, and J.-J. Fuchs, “Anti-sparse coding for approximate nearest neighbor search,” in Proc. ICASSP , 2012, pp. 2029–2032
2032
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