Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection

17 September 2018

Papers citing "Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection"

22 / 22 papers shown

Title
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Hua Zhang Xiaochun Cao FAtt 82 4 0 25 Nov 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 38 2 0 08 Sep 2024
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
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 21 10 0 17 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 17 16 0 03 Jul 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 28 10 0 06 Feb 2023
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving Liang Peng Boqi Li Wen-Hui Yu Kailiang Yang Wenbo Shao Hong Wang AAML 28 24 0 08 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 25 9 0 07 Nov 2022
Towards Generalized Few-Shot Open-Set Object Detection Binyi Su Hua Zhang Jingzhi Li Zhongjun Zhou 43 9 0 28 Oct 2022
Tunable Hybrid Proposal Networks for the Open World Matthew J. Inkawhich Nathan Inkawhich H. Li Yiran Chen 19 2 0 23 Aug 2022
UC-OWOD: Unknown-Classified Open World Object Detection Zhi-zong Wu Yue Lu Xingyu Chen Zhengxing Wu Liwen Kang Junzhi Yu 17 55 0 23 Jul 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 22 2 0 20 Jul 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
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Eric Wang Gabriel Gozum Yixuan Li OODD 34 90 0 08 Mar 2022
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 24 448 0 03 Mar 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 222 0 20 Nov 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 18 115 0 09 Mar 2019
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 35 111 0 27 Nov 2018
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