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]. R. References1, P. Arandjelovic, A. Gronat, T. Torii, J. Pajdla et al., NetVLAD: CNN architecture for weakly supervised place recognition, CVPR, 2007.

R. Arandjelovic and A. Zisserman, Three things everyone should know to improve object retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, p.5, 2012.
DOI : 10.1109/CVPR.2012.6248018

A. Babenko and V. Lempitsky, Aggregating deep convolutional features for image retrieval, ICCV, 2015.

Y. Cao, C. Wang, Z. Li, L. Zhang, and L. Zhang, Spatialbag-of-features, CVPR, 2010.

O. Chum, A. Mikulik, M. Perdoch, and J. Matas, Total recall II: Query expansion revisited, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995601

O. Chum, M. Perdoch, and J. Matas, Geometric minhashing: Finding a (thick) needle in a haystack, CVPR, 2009.

O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408891

M. A. Fischler and R. C. Bolles, Random sample consensus, Communications of ACM, issue.5, 1981.

S. Gammeter, L. Bossard, T. Quack, and L. , Van Gool. I know what you did last summer: object-level auto-annotation of holiday snaps, CVPR, 2009.

A. Gordo, J. Almazan, J. Revaud, and D. Larlus, End-to-End Learning of Deep Visual Representations for Image Retrieval, International Journal of Computer Vision, vol.124, issue.2, 2007.
DOI : 10.1109/CVPR.2014.180

R. Hadsell, S. Chopra, and Y. Lecun, Dimensionality Reduction by Learning an Invariant Mapping, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.100

K. He, X. Zhang, S. Ren, and J. Sun, Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
DOI : 10.1109/CVPR.2016.90

A. Iscen, Y. Avrithis, G. Tolias, T. Furon, and O. Chum, Fast spectral ranking for similarity search, CVPR, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01839744

A. Iscen, G. Tolias, Y. Avrithis, T. Furon, and O. Chum, Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
DOI : 10.1109/CVPR.2017.105

URL : https://hal.archives-ouvertes.fr/hal-01505470

H. Jégou and O. Chum, Negative evidences and cooccurences in image retrieval: The benefit of PCA and whitening, ECCV, 2012.

H. Jégou, M. Douze, and C. Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, ECCV, 2005.
DOI : 10.1109/CVPR.2007.383150

H. Jégou, M. Douze, and C. Schmid, On the burstiness of visual elements, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206609

H. Jégou, M. Douze, C. Schmid, and P. Pérez, Aggregating local descriptors into a compact image representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.
DOI : 10.1109/CVPR.2010.5540039

H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez et al., Aggregating local descriptors into compact codes. PAMI, 2012.

Y. Kalantidis, C. Mellina, and S. Osindero, Crossdimensional weighting for aggregated deep convolutional features, Tolias, Y. Avrithis, M. Phinikettos, E. Spyrou , P. Mylonas, and S. Kollias. Viral: Visual image retrieval and localization. Multimedia Tools and Applications, 2011.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, NIPS, 2012.
DOI : 10.1162/neco.2009.10-08-881

URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradientbased learning applied to document recognition, Proceedings of the IEEE, 1998.

K. Mikolajczyk and J. Matas, Improving Descriptors for Fast Tree Matching by Optimal Linear Projection, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408871

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, 2005.
DOI : 10.1007/s11263-005-3848-x

URL : https://hal.archives-ouvertes.fr/inria-00548528

A. Mikulik, M. Perdoch, O. Chum, and J. Matas, Learning Vocabularies over a Fine Quantization, International Journal of Computer Vision, vol.30, issue.2, p.5, 2013.
DOI : 10.1109/TPAMI.2007.70755

E. Mohedano, K. Mcguinness, N. E. O-'connor, A. Salvador, F. Marques et al., Bags of Local Convolutional Features for Scalable Instance Search, Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, ICMR '16, 2016.
DOI : 10.1145/2324796.2324856

D. Nistér and H. Stewénius, Scalable Recognition with a Vocabulary Tree, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.264

H. Noh, A. Araujo, J. Sim, T. Weyand, and B. Han, Largescale image retrieval with attentive deep local features, ICCV, p.5, 2017.

M. Perdoch, O. Chum, and J. Matas, Efficient representation of local geometry for large scale object retrieval, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206529

F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier, Large-scale image retrieval with compressed Fisher vectors, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540009

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2005.
DOI : 10.1109/CVPR.2007.383172

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Lost in quantization: Improving particular object retrieval in large scale image databases, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2005.
DOI : 10.1109/CVPR.2008.4587635

F. Radenovi´cradenovi´c, J. L. Schönberger, D. Ji, J. Frahm, O. Chum et al., From dusk till dawn: Modeling in the dark, CVPR, 2016.

F. Radenovi´cradenovi´c, G. Tolias, and O. Chum, CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples, ECCV, p.7, 2016.

F. Radenovi´cradenovi´c, G. Tolias, and O. Chum, Fine-tuning CNN image retrieval with no human annotation, arXiv, 2008.

A. S. Razavian, J. Sullivan, S. Carlsson, and A. Maki, [Paper] Visual Instance Retrieval with Deep Convolutional Networks, ITE Transactions on Media Technology and Applications, vol.4, issue.3, 2007.
DOI : 10.3169/mta.4.251

O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh et al., , 2015.

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663

R. Tao, E. Gavves, C. G. Snoek, and A. W. Smeulders, Locality in Generic Instance Search from One Example, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.269

B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni et al., YFCC100M, Communications of the ACM, vol.59, issue.2
DOI : 10.1145/2559206.2559233

URL : http://dl.acm.org/ft_gateway.cfm?id=2812802&type=pdf

G. Tolias and Y. Avrithis, Speeded-up, relaxed spatial matching, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126427

URL : http://image.ntua.gr/iva/files/hpm_iccv11a.pdf

G. Tolias, Y. Avrithis, and H. Jégou, To Aggregate or Not to aggregate: Selective Match Kernels for Image Search, 2013 IEEE International Conference on Computer Vision, 2013.
DOI : 10.1109/ICCV.2013.177

URL : https://hal.archives-ouvertes.fr/hal-00864684

G. Tolias, Y. Avrithis, and H. Jégou, Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images, International Journal of Computer Vision, vol.103, issue.1, p.5, 2015.
DOI : 10.1007/978-3-642-33709-3_47

URL : https://hal.archives-ouvertes.fr/hal-01131898

G. Tolias and H. Jégou, Visual query expansion with or without geometry: Refining local descriptors by feature aggregation, Pattern Recognition, vol.47, issue.10, p.5, 2014.
DOI : 10.1016/j.patcog.2014.04.007

URL : https://hal.archives-ouvertes.fr/hal-00971267

G. Tolias, R. Sicre, and H. Jégou, Particular object retrieval with integral max-pooling of CNN activations, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01842218

Y. Verdie, K. Yi, P. Fua, and V. Lepetit, TILDE: A Temporally Invariant Learned DEtector, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7299165

URL : http://arxiv.org/pdf/1411.4568.pdf

J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang et al., Learning Fine-Grained Image Similarity with Deep Ranking, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.180

URL : https://authors.library.caltech.edu/61511/1/06909576.pdf

J. Yue-hei-ng, F. Yang, and L. S. Davis, Exploiting local features from deep networks for image retrieval, CVPR, 2015.

L. Zheng, S. Wang, Z. Liu, and Q. Tian, Lp-Norm IDF for Large Scale Image Search, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.213

L. Zheng, S. Wang, J. Wang, and Q. Tian, Accurate image search with multi-scale contextual evidences. IJCV, 2016.
DOI : 10.1007/s11263-016-0889-2

W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, Spatial coding for large scale partial-duplicate web image search, Proceedings of the international conference on Multimedia, MM '10, 2010.
DOI : 10.1145/1873951.1874019