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Bienvenue dans la collection HAL de LETG-RennesLETG-Rennes est le pôle rennais de l’UMR LETG . Il est hébergé à l’Université de Rennes 2. |
Références1 286 |
Texte intégral451 |
Open access29 % |
Dernières publications
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Liam Loizeau-Woollgar, Julien Pellen, Laurence Hubert-Moy. Hierarchical Random Forest classification on raster data. 2024, ⟨swh:1:dir:6b012007fab9e220c6509794e7a3df493fd60978;origin=https://github.com/JP-LETG-Rennes/RandomForest_Hiear;visit=swh:1:snp:930a98157c4926f9922d52d6c2bd372816bb9b84;anchor=swh:1:rev:852c83980e57a23bf74eadb4e8805b0fa71859e3⟩. ⟨hal-04596517⟩
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Killian Barrere, Yann Soullard, Aurélie Lemaitre, Bertrand Coüasnon. Training transformer architectures on few annotated data: an application to historical handwritten text recognition. International Journal on Document Analysis and Recognition, In press, International Journal on Document Analysis and Recognition (IJDAR), ⟨10.1007/s10032-023-00459-2⟩. ⟨hal-04447488⟩
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Mathilde Letard, Dimitri Lague, Arthur Le Guennec, Sébastien Lefèvre, Baptiste Feldmann, et al.. 3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 207, pp.175-197. ⟨10.1016/j.isprsjprs.2023.11.022⟩. ⟨hal-04353070v3⟩