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Deep edge-color invariant features for 2D/3D car fine-grained classification

Florian Chabot 1 Mohamed Chaouch 1 Jaonary Rabarisoa 1 Thierry Chateau 2, 3 Céline Teulière 2, 3 
1 LVIC - Laboratoire Vision et Ingénierie des Contenus
DIASI - Département Intelligence Ambiante et Systèmes Interactifs : DRT/LIST/DIASI
2 UCA [2017-2020] - Université Clermont Auvergne [2017-2020]
3 COMSEE - COMputers that SEE
ISPR - Image, système de perception, robotique
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01653492
Contributor : Thierry Chateau Connect in order to contact the contributor
Submitted on : Friday, December 1, 2017 - 3:09:13 PM
Last modification on : Thursday, February 17, 2022 - 10:08:04 AM

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  • HAL Id : hal-01653492, version 1

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CEA | PRES_CLERMONT | CNRS | INSTITUT_PASCAL | DRT | CEA-UPSAY | UNIV-PARIS-SACLAY | LIST | GS-ENGINEERING | GS-COMPUTER-SCIENCE

Citation

Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Thierry Chateau, Céline Teulière. Deep edge-color invariant features for 2D/3D car fine-grained classification. Intelligent Vehicles Symposium (IV), 2017, Los Angeles, United States. ⟨hal-01653492⟩

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