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"

9 / 9 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 44 11 0 14 Mar 2023
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning Zhongxiang Zhou Yifei Yang Yue Wang R. Xiong ObjD 16 13 0 21 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 48 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 31 29 0 29 Aug 2022
Open-Set Semi-Supervised Object Detection Yen-Cheng Liu Chih-Yao Ma Xiaoliang Dai Junjiao Tian Peter Vajda Zijian He Z. Kira 21 22 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 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015