Fast Uncertainty Quantification for Deep Object Pose Estimation

16 November 2020

Papers citing "Fast Uncertainty Quantification for Deep Object Pose Estimation"

5 / 5 papers shown

Title
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences Shishir Reddy Vutukur R. Haugaard Junwen Huang Benjamin Busam Tolga Birdal 20 0 0 10 Sep 2024
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field Haowen Wang Zhipeng Fan Zhen Zhao Zhengping Che Zhiyuan Xu Dong Liu Feifei Feng Yakun Huang Xiuquan Qiao Jian Tang 20 6 0 04 Aug 2023
Object-centric Representations for Interactive Online Learning with Non-Parametric Methods Nikhil Shinde Jacob J. Johnson Sylvia L. Herbert Michael C. Yip LM&Ro OffRL 22 1 0 19 Jul 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015