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Probabilistic Object Detection: Definition and Evaluation

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 / 64 papers shown
Title
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
Mahan Rafidashti
Ji Lan
M. Fatemi
Junsheng Fu
Lars Hammarstrand
Lennart Svensson
39
0
0
01 Apr 2025
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
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
43
19
0
10 Jan 2025
O1O: Grouping of Known Classes to Identify Unknown Objects as
  Odd-One-Out
O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out
Mısra Yavuz
Fatma Guney
26
0
0
10 Oct 2024
Can OOD Object Detectors Learn from Foundation Models?
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
Quantifying Uncertainty in Motion Prediction with Variational Bayesian
  Mixture
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Juanwu Lu
Can Cui
Yunsheng Ma
Aniket Bera
Ziran Wang
39
1
0
04 Apr 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in
  Multi-Object Tracking
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking
Chang Won Lee
Steven L. Waslander
VOT
21
2
0
19 Feb 2024
A Theoretical and Practical Framework for Evaluating Uncertainty
  Calibration in Object Detection
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Pedro Conde
Rui L. Lopes
C. Premebida
UQCV
11
1
0
01 Sep 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Bartlomiej Olber
Krystian Radlak
K. Chachula
Jakub Lyskawa
Piotr Fratczak
OODD
10
0
0
31 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty
  Quantification and Calibration
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
Kemal Oksuz
Thomas Joy
P. Dokania
UQCV
15
16
0
03 Jul 2023
Distributional Instance Segmentation: Modeling Uncertainty and High
  Confidence Predictions with Latent-MaskRCNN
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
YuXuan Liu
Nikhil Mishra
Pieter Abbeel
Xi Chen
ISeg
UQCV
19
4
0
03 May 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
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
25
91
0
20 Apr 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic
  Segmentation
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation
Jacob Deery
Chang Won Lee
Steven Waslander
8
2
0
17 Apr 2023
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal
  Dataset for Hand Instance Segmentation in Cluttered Industrial Environments
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
18
2
0
12 Apr 2023
Confident Object Detection via Conformal Prediction and Conformal Risk
  Control: an Application to Railway Signaling
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
Léo Andéol
Thomas Fel
F. D. Grancey
Luca Mossina
19
11
0
12 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation
Uncertainty estimation in Deep Learning for Panoptic segmentation
Michael J. Smith
F. Ferrie
OOD
UQCV
14
0
0
04 Apr 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown
  Objects
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
Wenteng Liang
Feng Xue
Yihao Liu
Guofeng Zhong
Anlong Ming
69
21
0
24 Mar 2023
Bayesian Deep Learning for Affordance Segmentation in images
Bayesian Deep Learning for Affordance Segmentation in images
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
Jose J. Guerrero
BDL
UQCV
6
11
0
02 Mar 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object
  Detection
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
39
13
0
01 Feb 2023
Conformal Prediction for Trustworthy Detection of Railway Signals
Conformal Prediction for Trustworthy Detection of Railway Signals
Léo Andéol
Thomas Fel
F. D. Grancey
Luca Mossina
19
5
0
26 Jan 2023
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in
  Long-tail Traffic Scenarios
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Liangzu Peng
Jun Li
Wenbo Shao
Hong Wang
23
9
0
07 Nov 2022
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
YuXuan Liu
Nikhil Mishra
Maximilian Sieb
Yide Shentu
Pieter Abbeel
Xi Chen
3DPC
35
5
0
13 Oct 2022
Uncertainty Quantification of Collaborative Detection for Self-Driving
Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su
Yiming Li
Sihong He
Songyang Han
Chen Feng
Caiwen Ding
Fei Miao
42
52
0
16 Sep 2022
UC-OWOD: Unknown-Classified Open World Object Detection
UC-OWOD: Unknown-Classified Open World Object Detection
Zhi-zong Wu
Yue Lu
Xingyu Chen
Zhengxing Wu
Liwen Kang
Junzhi Yu
13
55
0
23 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and
  Object Detection
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection
Fabian Küppers
Jonas Schneider
Anselm Haselhoff
UQCV
24
8
0
04 Jul 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
13
1
0
29 Apr 2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Riku Togashi
Mayu Otani
Yuta Nakashima
Esa Rahtu
J. Heikkilä
T. Sakai
16
0
0
30 Mar 2022
Optimal Correction Cost for Object Detection Evaluation
Optimal Correction Cost for Object Detection Evaluation
Mayu Otani
Riku Togashi
Yuta Nakashima
Esa Rahtu
J. Heikkilä
Shiníchi Satoh
28
14
0
28 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational
  Inference
Representation Uncertainty in Self-Supervised Learning as Variational Inference
Hiroki Nakamura
Masashi Okada
T. Taniguchi
17
18
0
22 Mar 2022
Object Detection as Probabilistic Set Prediction
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
Multi-Agent Active Search using Detection and Location Uncertainty
Arundhati Banerjee
Ramina Ghods
J. Schneider
15
3
0
09 Mar 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild
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
32
89
0
08 Mar 2022
Whole-Body MPC and Dynamic Occlusion Avoidance: A Maximum Likelihood
  Visibility Approach
Whole-Body MPC and Dynamic Occlusion Avoidance: A Maximum Likelihood Visibility Approach
I. Ibrahim
Farbod Farshidian
Jan Preisig
P. Franklin
P. Rocco
Marco Hutter
17
3
0
04 Mar 2022
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for
  multiple uncertainty types and tasks
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
13
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
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
12
44
0
19 Dec 2021
OW-DETR: Open-world Detection Transformer
OW-DETR: Open-world Detection Transformer
Akshita Gupta
Sanath Narayan
K. J. Joseph
Salman Khan
F. Khan
M. Shah
ViT
13
163
0
02 Dec 2021
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural
  networks for robot perception
fff-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
10
4
0
28 Sep 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic Perception
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
42
13
0
23 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
Fabian Küppers
Jan Kronenberger
Jonas Schneider
Anselm Haselhoff
UQCV
BDL
11
8
0
21 Sep 2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on
  Dense Semantic SLAM
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
14
10
0
16 Sep 2021
An Uncertainty Estimation Framework for Probabilistic Object Detection
An Uncertainty Estimation Framework for Probabilistic Object Detection
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
11
2
0
28 Jun 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
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
32
137
0
24 Jun 2021
I Find Your Lack of Uncertainty in Computer Vision Disturbing
I Find Your Lack of Uncertainty in Computer Vision Disturbing
Matias Valdenegro-Toro
UQCV
9
20
0
16 Apr 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Uncertainty for Identifying Open-Set Errors in Visual Object Detection
Dimity Miller
Niko Sünderhauf
Michael Milford
Feras Dayoub
EDL
15
48
0
03 Apr 2021
Towards Open World Object Detection
Towards Open World Object Detection
K. J. Joseph
Salman Khan
F. Khan
V. Balasubramanian
ObjD
19
448
0
03 Mar 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep
  Object Detectors
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh
Steven L. Waslander
UQCV
11
41
0
13 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
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
11
115
0
02 Jan 2021
Towards a category-extended object detector with limited data
Towards a category-extended object detector with limited data
Bowen Zhao
Chen Chen
Xi Xiao
Shutao Xia
ObjD
19
2
0
28 Dec 2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object
  Detection
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
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
19
32
0
21 Nov 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
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
15
221
0
20 Nov 2020
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