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Probabilistic Object Detection: Definition and Evaluation
27 November 2018
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
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Papers citing
"Probabilistic Object Detection: Definition and Evaluation"
50 / 65 papers shown
Title
Cumulative Consensus Score: Label-Free and Model-Agnostic Evaluation of Object Detectors in Deployment
Avinaash Manoharan
Xiangyu Yin
Domenik Helm
Chih-Hong Cheng
124
0
0
16 Sep 2025
SurfR: Surface Reconstruction with Multi-scale Attention
International Conference on 3D Vision (3DV), 2025
Siddhant Ranade
Goncalo Dias Pais
Ross Tyler Whitaker
Jacinto C. Nascimento
Pedro Miraldo
Srikumar Ramalingam
3DPC
3DV
137
0
0
10 Jun 2025
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
Mahan Rafidashti
Ji Lan
M. Fatemi
Junsheng Fu
Lars Hammarstrand
Lennart Svensson
367
3
0
01 Apr 2025
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
Artificial Intelligence Review (Artif Intell Rev), 2024
Ranjan Sapkota
Rizwan Qureshi
Marco Flores Calero
Chetan Badjugar
Upesh Nepal
...
U. B. P. Vaddevolu
Sheheryar Khan
Maged Shoman
Hong-Mei Yan
Manoj Karkee
401
2
0
10 Jan 2025
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
Asian Conference on Computer Vision (ACCV), 2024
Mısra Yavuz
Fatma Guney
176
1
0
10 Oct 2024
Can OOD Object Detectors Learn from Foundation Models?
European Conference on Computer Vision (ECCV), 2024
Jiahui Liu
Xin Wen
Shizhen Zhao
Yukang Chen
Xiaojuan Qi
OODD
273
11
0
08 Sep 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Computer Vision and Pattern Recognition (CVPR), 2024
Juanwu Lu
Can Cui
Yunsheng Ma
Aniket Bera
Ziran Wang
141
8
0
04 Apr 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking
Chang Won Lee
Steven L. Waslander
VOT
221
3
0
19 Feb 2024
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
249
2
0
01 Sep 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
European Conference on Artificial Intelligence (ECAI), 2023
Bartlomiej Olber
Krystian Radlak
K. Chachula
Jakub Lyskawa
Piotr Fratczak
OODD
117
0
0
31 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Computer Vision and Pattern Recognition (CVPR), 2023
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
223
20
0
03 Jul 2023
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
IEEE International Conference on Robotics and Automation (ICRA), 2023
YuXuan Liu
Nikhil Mishra
Pieter Abbeel
Xi Chen
ISeg
UQCV
173
4
0
03 May 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
232
170
0
20 Apr 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation
Canadian Conference on Computer and Robot Vision (CRV), 2023
Jacob Deery
Chang Won Lee
Steven Waslander
152
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
191
4
0
12 Apr 2023
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
International Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2023
Léo Andéol
Thomas Fel
F. D. Grancey
Luca Mossina
229
23
0
12 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OOD
UQCV
162
0
0
04 Apr 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
Computer Vision and Pattern Recognition (CVPR), 2023
Wenteng Liang
Feng Xue
Yihao Liu
Guofeng Zhong
Anlong Ming
478
34
0
24 Mar 2023
Bayesian Deep Learning for Affordance Segmentation in images
IEEE International Conference on Robotics and Automation (ICRA), 2023
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
Jose J. Guerrero
BDL
UQCV
185
15
0
02 Mar 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
199
19
0
01 Feb 2023
Conformal Prediction for Trustworthy Detection of Railway Signals
AI and Ethics (AE), 2023
Léo Andéol
Thomas Fel
F. D. Grancey
Luca Mossina
186
7
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
199
12
0
07 Nov 2022
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
European Conference on Computer Vision (ECCV), 2022
YuXuan Liu
Nikhil Mishra
Maximilian Sieb
Yide Shentu
Pieter Abbeel
Xi Chen
3DPC
115
6
0
13 Oct 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving
IEEE International Conference on Robotics and Automation (ICRA), 2022
Sanbao Su
Yiming Li
Sihong He
Songyang Han
Chen Feng
Caiwen Ding
Fei Miao
273
73
0
16 Sep 2022
UC-OWOD: Unknown-Classified Open World Object Detection
European Conference on Computer Vision (ECCV), 2022
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
199
71
0
23 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers
Jonas Schneider
Anselm Haselhoff
UQCV
205
16
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
149
2
0
29 Apr 2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Computer Vision and Pattern Recognition (CVPR), 2022
Riku Togashi
Mayu Otani
Yuta Nakashima
Esa Rahtu
J. Heikkilä
T. Sakai
117
1
0
30 Mar 2022
Optimal Correction Cost for Object Detection Evaluation
Computer Vision and Pattern Recognition (CVPR), 2022
Mayu Otani
Riku Togashi
Yuta Nakashima
Esa Rahtu
J. Heikkilä
Shiníchi Satoh
142
22
0
28 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference
IEEE International Conference on Computer Vision (ICCV), 2022
Hiroki Nakamura
Masashi Okada
T. Taniguchi
157
22
0
22 Mar 2022
Object Detection as Probabilistic Set Prediction
European Conference on Computer Vision (ECCV), 2022
Georg Hess
Christoffer Petersson
Lennart Svensson
188
6
0
15 Mar 2022
Multi-Agent Active Search using Detection and Location Uncertainty
IEEE International Conference on Robotics and Automation (ICRA), 2022
Arundhati Banerjee
Ramina Ghods
J. Schneider
144
3
0
09 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Computer Vision and Pattern Recognition (CVPR), 2022
Xuefeng Du
Xin Eric Wang
Gabriel Gozum
Shouqing Yang
OODD
227
107
0
08 Mar 2022
Whole-Body MPC and Dynamic Occlusion Avoidance: A Maximum Likelihood Visibility Approach
IEEE International Conference on Robotics and Automation (ICRA), 2022
I. Ibrahim
Farbod Farshidian
Jan Preisig
P. Franklin
P. Rocco
Marco Hutter
101
3
0
04 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
British Machine Vision Conference (BMVC), 2022
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Ángel Tena
Rémi Kazmierczak
Séverine Dubuisson
Emanuel Aldea
David Filliat
UQCV
226
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 Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
213
64
0
19 Dec 2021
OW-DETR: Open-world Detection Transformer
Akshita Gupta
Sanath Narayan
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
M. Shah
ViT
215
231
0
02 Dec 2021
f
f
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
193
6
0
28 Sep 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
247
17
0
23 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Fabian Küppers
Jan Kronenberger
Jonas Schneider
Anselm Haselhoff
UQCV
BDL
121
11
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
91
10
0
16 Sep 2021
An Uncertainty Estimation Framework for Probabilistic Object Detection
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
97
3
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
409
183
0
24 Jun 2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing
Matias Valdenegro-Toro
UQCV
139
22
0
16 Apr 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
IEEE Robotics and Automation Letters (RA-L), 2021
Dimity Miller
Niko Sünderhauf
Michael Milford
Feras Dayoub
EDL
163
52
0
03 Apr 2021
Towards Open World Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjD
230
536
0
03 Mar 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
International Conference on Learning Representations (ICLR), 2021
Ali Harakeh
Steven L. Waslander
UQCV
218
43
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
316
130
0
02 Jan 2021
Towards a category-extended object detector with limited data
Pattern Recognition (Pattern Recognit.), 2020
Bowen Zhao
Chen Chen
Xi Xiao
Shutao Xia
ObjD
300
3
0
28 Dec 2020
Wasserstein Dropout
Machine-mediated learning (ML), 2020
Joachim Sicking
Maram Akila
Maximilian Pintz
Tim Wirtz
Asja Fischer
Stefanie Wrobel
BDL
OOD
UQCV
205
2
0
23 Dec 2020
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