Uncertainty for Identifying Open-Set Errors in Visual Object Detection

3 April 2021

Papers citing "Uncertainty for Identifying Open-Set Errors in Visual Object Detection"

7 / 7 papers shown

Title
YOLOOC: YOLO-based Open-Class Incremental Object Detection with Novel Class Discovery Qian Wan Xiang Xiang Qinhao Zhou ObjD 33 0 0 30 Mar 2024
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 41 11 0 14 Mar 2023
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 45 9 0 28 Oct 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 21 29 0 29 Aug 2022
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 89 29 0 06 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015