CertainNet: Sampling-free Uncertainty Estimation for Object Detection

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

4 October 2021

Stefano Gasperini

Alvaro Marcos-Ramiro

Nassir Navab

Papers citing "CertainNet: Sampling-free Uncertainty Estimation for Object Detection"

8 / 8 papers shown

Title
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning Monish R. Nallapareddy Kshitij Sirohi Paulo L. J. Drews-Jr Wolfram Burgard Chih-Hong Cheng Abhinav Valada EDL 36 7 0 06 Mar 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 20 20 0 22 Feb 2023
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation Hanzhi Chen Fabian Manhardt Nassir Navab Benjamin Busam SSL 34 36 0 25 Dec 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 39 1 0 18 Jul 2022
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 29 52 0 09 Dec 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 25 59 0 01 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015