CHEVALIER Marion
Forschungsgruppe : MLIA
Datum, an dem das LIP6 verlassen wurde : 31.12.2016
https://lip6.fr/Marion.Chevalier
Forschungsleitung (Direction de recherche) : Matthieu CORD
Co-Betreuung : HÉNAFF Gilles, THOME Nicolas
Détection et reconnaissance de cibles en imagerie optronique
Image classification has a prominent interest in numerous visual recognition tasks, particularly for vehicle recognition in airborne systems, where the images have a low resolution because of the large distance between the system and the observed scene. During the training phase, complementary data such as knowledge on the position of the system or high-resolution images may be available. In our work, we focus on the task of low-resolution image classification while taking into account supplementary information during the training phase.
We first show the interest of deep convolutional networks for the low-resolution image recognition, especially by proposing an architecture learned on the targeted data. On the other hand, we rely on the framework of learning using privileged information to benefit from the complementary training data, here the high-resolution versions of the images. We propose two novel methods for integrating privileged information in the learning phase of neural networks. Our first model relies on these complementary data to compute an absolute difficulty level, assigning a large weight to the most easily recognized images. Our second model introduces a similarity constraint between the networks learned on each type of data. We experimentally validate our models on several application cases, especially in a fine-grained oriented context and on a dataset containing annotation noise.
Verteidigung einer Doktorarbeit : 02.12.2016
Mitglieder der Prüfungskommission :
M. François Brémond, INRIA Sophia Antipolis, Rapporteur
M. Patrick Pérez, Technicolor, Rapporteur
Mme Catherine Achard, Université Pierre et Marie Curie
M. Stéphane Canu, INSA Rouen
M. Matthieu Cord, Université Pierre et Marie Curie
M. Gilles Hénaff, Thales Optronique S.A.S.
M. Nicolas Thome, Université Pierre et Marie Curie
Publikationen 2015-2018
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2018
- M. CHEVALIER, N. Thome, G. Henaff, M. Cord : “Classifying low-resolution images by integrating privileged information in deep CNNs”, Pattern Recognition Letters, vol. 116, pp. 29-35, (Elsevier) (2018)
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2016
- M. Chevalier : “Détection et reconnaissance de cibles en imagerie optronique”, these, verteidigung einer doktorarbeit 02.12.2016, forschungsleitung (direction de recherche) Cord, Matthieu, co-betreuung : Hénaff, Gilles, Thome, Nicolas (2016)
- M. CHEVALIER, N. Thome, M. Cord, J. Fournier, G. Henaff, E. Dusch : “LOW RESOLUTION CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC TARGET RECOGNITION”, 7th International Symposium on Optronics in Defence and Security, Paris, France (2016)
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2015
- M. CHEVALIER, N. Thome, M. Cord, J. Fournier, G. Henaff, E. Dusch : “LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION”, IEEE International Conference on Image Processing, Québec city, Canada (2015)