S. Maji, J. Kannala, E. Rahtu, M. Blaschko, and A. Vedaldi, Fine-grained visual classification of aircraft, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00842101

M. Nilsback and A. Zisserman, Automated Flower Classification over a Large Number of Classes, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008.
DOI : 10.1109/ICVGIP.2008.47

B. Yao and L. Fei-fei, Grouplet: A structured image representation for recognizing human and object interactions, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540234

F. Perronnin and C. Dance, Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383266

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

C. Theriault, N. Thome, and M. Cord, Extended Coding and Pooling in the HMAX Model, IEEE Transactions on Image Processing, vol.22, issue.2, 2013.
DOI : 10.1109/TIP.2012.2222900
URL : https://hal.archives-ouvertes.fr/hal-01185467

C. Theriault, N. Thome, and M. Cord, Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.336
URL : https://hal.archives-ouvertes.fr/hal-01216646

S. Avila, N. Thome, M. Cord, E. Valle, A. De et al., BOSSA: Extended bow formalism for image classification, 2011 18th IEEE International Conference on Image Processing, 2011.
DOI : 10.1109/ICIP.2011.6116268
URL : https://hal.archives-ouvertes.fr/hal-00625533

S. Avila, N. Thome, M. Cord, E. Valle, A. De et al., Pooling in image representation: The visual codeword point of view, Computer Vision and Image Understanding, vol.117, issue.5, pp.453-465, 2013.
DOI : 10.1016/j.cviu.2012.09.007
URL : https://hal.archives-ouvertes.fr/hal-01172709

G. Hinton, S. Osindero, and Y. Teh, A fast learning algorithm for deep belief networks, Neural Computation, 2006.

H. Goh, N. Thome, M. Cord, and J. Lim, Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines, p.2012
DOI : 10.1007/978-3-642-33715-4_22
URL : https://hal.archives-ouvertes.fr/hal-00816428

H. Goh, N. Thome, M. Cord, and J. H. Lim, Top-down regularization of deep belief networks, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00947569

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, p.2012

K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, Return of the Devil in the Details: Delving Deep into Convolutional Nets, Proceedings of the British Machine Vision Conference 2014, 2014.
DOI : 10.5244/C.28.6

M. Oquab, L. Bottou, I. Laptev, J. Sivic, ]. J. Deng et al., Learning and transferring mid-level image representations using convolutional neural networks Imagenet: A large-scale hierarchical image database, CVPR, 2009.

A. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, CNN Features Off-the-Shelf: An Astounding Baseline for Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014.
DOI : 10.1109/CVPRW.2014.131

Y. Lecun, Y. Bengio, L. Bottou, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998.
DOI : 10.1109/5.726791

P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus et al., Overfeat: Integrated recognition , localization and detection using convolutional networks, 2014.

M. Chevalier, N. Thome, M. Cord, J. Fournier, G. Henaff et al., LR-CNN for fine-grained classification with varying resolution, 2015 IEEE International Conference on Image Processing (ICIP), 2015.
DOI : 10.1109/ICIP.2015.7351374
URL : https://hal.archives-ouvertes.fr/hal-01196958

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999.
DOI : 10.1109/ICCV.1999.790410

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

L. Wan, M. Zeiler, S. Zhang, Y. Le-cun, and R. Fergus, Regularization of neural networks using dropconnect, 2013.

A. Vedaldi and B. Fulkerson, Vlfeat, Proceedings of the international conference on Multimedia, MM '10, 2008.
DOI : 10.1145/1873951.1874249

A. Vedaldi and K. Lenc, Matconvnet ? convolutional neural networks for matlab, 1412.

R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin, LIBLINEAR: A library for large linear classification, 2008.

J. Yosinski, J. Clune, Y. Bengio, and H. Lipson, How transferable are features in deep neural networks?, 2014.