B. Huang, K. Lu, N. Audebert, A. Khalel, Y. Tarabalka et al., Large-scale semantic classification: outcome of the first year of inria aerial image labeling benchmark, IEEE IGARSS, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01767807

I. J. Goodfellow, M. Mirza, D. Xiao, A. Courville, and Y. Bengio, An empirical investigation of catastrophic forgetting in gradient-based neural networks, 2013.

S. S. Sarwar, A. Ankit, and K. Roy, Incremental learning in deep convolutional neural networks using partial network sharing, 2017.

J. Kirkpatrick, R. Pascanu, N. Rabinowitz, H. Veness, G. Desjardins et al., Overcoming catastrophic forgetting in neural networks, Proceedings of the national academy of sciences, p.201611835, 2017.

R. Aljundi, F. Babiloni, M. Elhoseiny, M. Rohrbach, and T. Tuytelaars, Memory aware synapses: Learning what (not) to forget, 2018.

S. Rebuffi, A. Kolesnikov, G. Sperl, and C. H. Lampert, , 2017.

G. Hinton, O. Vinyals, and J. Dean, Distilling the knowledge in a neural network, 2015.

Z. Li and D. Hoiem, Learning without forgetting, IEEE TPAMI, 2017.

K. Shmelkov, C. Schmid, and K. Alahari, Incremental learning of object detectors without catastrophic forgetting, pp.3420-3429, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01573623

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, 2014.

N. Audebert, B. L. Saux, and S. Lefèvre, Semantic segmentation of earth observation data using multimodal and multi-scale deep networks, ACCV, pp.180-196, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01360166