Probabilistic Object Detection: Definition and Evaluation

27 November 2018

Papers citing "Probabilistic Object Detection: Definition and Evaluation"

50 / 64 papers shown

Title
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds Mahan Rafidashti Ji Lan M. Fatemi Junsheng Fu Lars Hammarstrand Lennart Svensson 41 0 0 01 Apr 2025
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series Ranjan Sapkota Rizwan Qureshi Marco Flores Calero Chetan Badjugar Upesh Nepal ... U. B. P. Vaddevolu Sheheryar Khan Maged Shoman Hong-Mei Yan Manoj Karkee 53 2 0 10 Jan 2025
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out Mısra Yavuz Fatma Guney 28 0 0 10 Oct 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 40 2 0 08 Sep 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture Juanwu Lu Can Cui Yunsheng Ma Aniket Bera Ziran Wang 52 3 0 04 Apr 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking Chang Won Lee Steven L. Waslander VOT 28 2 0 19 Feb 2024
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 13 1 0 01 Sep 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns Bartlomiej Olber Krystian Radlak K. Chachula Jakub Lyskawa Piotr Fratczak OODD 24 0 0 31 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 20 16 0 03 Jul 2023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN YuXuan Liu Nikhil Mishra Pieter Abbeel Xi Chen ISeg UQCV 21 4 0 03 May 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review Shanliang Yao Runwei Guan Xiaoyu Huang Zhuoxiao Li Xiangyu Sha ... Eng Gee Lim H. Seo Ka Lok Man Xiaohui Zhu Yutao Yue 41 91 0 20 Apr 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation Jacob Deery Chang Won Lee Steven Waslander 21 2 0 17 Apr 2023
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments Stefan Grushko Alevs Vysocký J. Chlebek Petr Prokop 26 2 0 12 Apr 2023
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 21 11 0 12 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation Michael J. Smith F. Ferrie OOD UQCV 35 0 0 04 Apr 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects Wenteng Liang Feng Xue Yihao Liu Guofeng Zhong Anlong Ming 71 21 0 24 Mar 2023
Bayesian Deep Learning for Affordance Segmentation in images Lorenzo Mur-Labadia Ruben Martinez-Cantin Jose J. Guerrero BDL UQCV 13 11 0 02 Mar 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 47 13 0 01 Feb 2023
Conformal Prediction for Trustworthy Detection of Railway Signals Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 26 5 0 26 Jan 2023
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 34 9 0 07 Nov 2022
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction YuXuan Liu Nikhil Mishra Maximilian Sieb Yide Shentu Pieter Abbeel Xi Chen 3DPC 43 5 0 13 Oct 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving Sanbao Su Yiming Li Sihong He Songyang Han Chen Feng Caiwen Ding Fei Miao 50 53 0 16 Sep 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
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 34 8 0 04 Jul 2022
Tailored Uncertainty Estimation for Deep Learning Systems Joachim Sicking Maram Akila Jan David Schneider Fabian Hüger Peter Schlicht Tim Wirtz Stefan Wrobel UQCV 29 1 0 29 Apr 2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval Riku Togashi Mayu Otani Yuta Nakashima Esa Rahtu J. Heikkilä T. Sakai 34 0 0 30 Mar 2022
Optimal Correction Cost for Object Detection Evaluation Mayu Otani Riku Togashi Yuta Nakashima Esa Rahtu J. Heikkilä Shiníchi Satoh 33 14 0 28 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference Hiroki Nakamura Masashi Okada T. Taniguchi 25 18 0 22 Mar 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
Multi-Agent Active Search using Detection and Location Uncertainty Arundhati Banerjee Ramina Ghods J. Schneider 25 3 0 09 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild Xuefeng Du Xin Wang Gabriel Gozum Yixuan Li OODD 43 91 0 08 Mar 2022
Whole-Body MPC and Dynamic Occlusion Avoidance: A Maximum Likelihood Visibility Approach I. Ibrahim Farbod Farshidian Jan Preisig P. Franklin P. Rocco Marco Hutter 27 3 0 04 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks Gianni Franchi Xuanlong Yu Andrei Bursuc Ángel Tena Rémi Kazmierczak Séverine Dubuisson Emanuel Aldea David Filliat UQCV 26 28 0 02 Mar 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern H. Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 17 44 0 19 Dec 2021
OW-DETR: Open-world Detection Transformer Akshita Gupta Sanath Narayan K. J. Joseph Salman Khan F. Khan M. Shah ViT 29 163 0 02 Dec 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 23 5 0 28 Sep 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 52 13 0 23 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 19 8 0 21 Sep 2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM S. Bista David Hall Ben Talbot Haoyang Zhang Feras Dayoub Niko Sünderhauf 27 10 0 16 Sep 2021
An Uncertainty Estimation Framework for Probabilistic Object Detection Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 30 2 0 28 Jun 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey Yingjie Wang Qi Mao Hanqi Zhu Jiajun Deng Yu Zhang Jianmin Ji Houqiang Li Yanyong Zhang 3DPC 48 139 0 24 Jun 2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing Matias Valdenegro-Toro UQCV 22 20 0 16 Apr 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection Dimity Miller Niko Sünderhauf Michael Milford Feras Dayoub EDL 31 48 0 03 Apr 2021
Towards Open World Object Detection K. J. Joseph Salman Khan F. Khan V. Balasubramanian ObjD 30 448 0 03 Mar 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh Steven L. Waslander UQCV 19 41 0 13 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 24 115 0 02 Jan 2021
Towards a category-extended object detector with limited data Bowen Zhao Chen Chen Xi Xiao Shutao Xia ObjD 27 2 0 28 Dec 2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer M. Tomizuka Wei Zhan 17 22 0 18 Dec 2020
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas 32 32 0 21 Nov 2020
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 24 223 0 20 Nov 2020