Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

Fichier non déposé

Dates et versions

hal-04323320 , version 1 (05-12-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-04323320 , version 1

Citer

van Nguyen Nguyen, Yinlin Hu, Xiao Yang, Mathieu Salzmann, Vincent Lepetit. Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022, New Orleans, United States. ⟨hal-04323320⟩
12 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More