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Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization
  Uncertainty for Autonomous Driving

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving

9 April 2019
Jiwoong Choi
Dayoung Chun
Hyun Kim
Hyuk-Jae Lee
ArXivPDFHTML

Papers citing "Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving"

50 / 123 papers shown
Title
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
UncTrack: Reliable Visual Object Tracking with Uncertainty-Aware Prototype Memory Network
Siyuan Yao
Yang Guo
Yanyang Yan
Wenqi Ren
Xiaochun Cao
53
0
0
17 Mar 2025
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for
  Accelerating Large VLMs
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Zechao Li
Yibing Song
Kaidi Wang
Zhangyang Wang
Yang You
83
7
0
04 Dec 2024
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment
  Analysis
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis
Hao Yang
Zhenyu Zhang
Yanyan Zhao
Bing Qin
71
0
0
02 Dec 2024
Text-guided Zero-Shot Object Localization
Jingjing Wang
Xinglin Piao
Zongzhi Gao
Bo Li
Yong Zhang
Baocai Yin
77
0
0
18 Nov 2024
Self-supervised cross-modality learning for uncertainty-aware object
  detection and recognition in applications which lack pre-labelled training
  data
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data
Irum Mehboob
Li Sun
Alireza Astegarpanah
Rustam Stolkin
UQCV
45
0
0
05 Nov 2024
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution
  Refinement
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement
Yansong Peng
Hebei Li
Peixi Wu
Yueyi Zhang
Xingchen Sun
Feng Wu
44
13
0
17 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
54
1
0
01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDL
BDL
UQCV
47
5
0
07 Sep 2024
Prediction Accuracy & Reliability: Classification and Object
  Localization under Distribution Shift
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet
Moussa Kassem Sbeyti
Michelle Karg
41
0
0
05 Sep 2024
UTrack: Multi-Object Tracking with Uncertain Detections
UTrack: Multi-Object Tracking with Uncertain Detections
Edgardo Solano-Carrillo
Felix Sattler
Antje Alex
Alexander Klein
Bruno Pereira Costa
Ángel Bueno Rodríguez
Jannis Stoppe
VOT
42
1
0
30 Aug 2024
YOLOv1 to YOLOv10: The fastest and most accurate real-time object
  detection systems
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems
Chien-Yao Wang
Hong-Yuan Mark Liao
ObjD
41
33
0
18 Aug 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
46
2
0
01 Aug 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop
  Feature Quality Estimation
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Shiyuan Li
Yixin Liu
Qingfeng Chen
Geoffrey I. Webb
Shirui Pan
SSL
37
4
0
29 Jul 2024
Optimization of Autonomous Driving Image Detection Based on RFAConv and
  Triplet Attention
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention
Zhipeng Ling
Qi Xin
Yiyu Lin
Guangze Su
Zuwei Shui
50
9
0
25 Jun 2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution
  Detection using Budding Ensemble Architecture for Object Detection
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection
Qutub Syed
Michael Paulitsch
Korbinian Hagn
Neslihan Kose Cihangir
Kay-Ulrich Scholl
Fabian Oboril
Gereon Hinz
Alois C. Knoll
OODD
53
1
0
05 Jun 2024
A Novel Wide-Area Multiobject Detection System with High-Probability
  Region Searching
A Novel Wide-Area Multiobject Detection System with High-Probability Region Searching
Xianlei Long
Hui Zhao
Chao Chen
Fuqiang Gu
Qingyi Gu
27
3
0
07 May 2024
Uncertainty-boosted Robust Video Activity Anticipation
Uncertainty-boosted Robust Video Activity Anticipation
Zhaobo Qi
Shuhui Wang
Weigang Zhang
Qingming Huang
36
5
0
29 Apr 2024
Electron-Tunnelling-Noise Programmable Random Variate Accelerator for
  Monte Carlo Sampling
Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling
James Timothy Meech
Vasileios Tsoutsouras
Phillip Stanley-Marbell
31
0
0
25 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
36
6
0
12 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
38
4
0
01 Mar 2024
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Robust Tiny Object Detection in Aerial Images amidst Label Noise
Haoran Zhu
Chang Xu
Wen Yang
Ruixiang Zhang
Yan Zhang
Gui-Song Xia
NoLa
30
1
0
16 Jan 2024
Not Every Side Is Equal: Localization Uncertainty Estimation for
  Semi-Supervised 3D Object Detection
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection
Chuxin Wang
Wenfei Yang
Tianzhu Zhang
3DPC
29
5
0
16 Dec 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via
  Fine-grained Reward Maximization
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Hongzheng Yang
Cheng Chen
Yueyao Chen
Markus Scheppach
Hon-Chi Yip
Qi Dou
EDL
UQCV
23
8
0
05 Nov 2023
Uncertainty Quantification of Deep Learning for Spatiotemporal Data:
  Challenges and Opportunities
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities
Wenchong He
Zhe Jiang
32
1
0
04 Nov 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ping Wang
Ming-Ming Cheng
ObjD
27
3
0
20 Oct 2023
Uncertainty Quantification using Generative Approach
Uncertainty Quantification using Generative Approach
Yunsheng Zhang
UQCV
BDL
19
0
0
13 Oct 2023
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To
  Quantify Uncertainty
How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty
Denis Mbey Akola
Gianni Franchi
ObjD
UQCV
33
0
0
07 Oct 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble
  Architecture
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture
S. Qutub
Neslihan Kose
Rafael Rosales
Michael Paulitsch
Korbinian Hagn
Florian Geissler
Yang Peng
Gereon Hinz
Alois C. Knoll
19
3
0
14 Sep 2023
DISCO: Distribution-Aware Calibration for Object Detection with Noisy
  Bounding Boxes
DISCO: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
Donghao Zhou
Jialin Li
Jinpeng Li
Jiancheng Huang
Qiang Nie
Yong-Jin Liu
Bin-Bin Gao
Qiong Wang
Pheng-Ann Heng
Guangyong Chen
38
3
0
23 Aug 2023
Classification Committee for Active Deep Object Detection
Classification Committee for Active Deep Object Detection
Lei Zhao
Bo-wen Li
Xingxing Wei
31
0
0
16 Aug 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
24
0
0
31 Jul 2023
Unfolding Framework with Prior of Convolution-Transformer Mixture and
  Uncertainty Estimation for Video Snapshot Compressive Imaging
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging
Siming Zheng
Xin Yuan
ViT
MedIm
10
5
0
20 Jun 2023
Overcoming the Limitations of Localization Uncertainty: Efficient &
  Exact Non-Linear Post-Processing and Calibration
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
Moussa Kassem Sbeyti
Michelle Karg
Christian Wirth
Azarm Nowzad
S. Albayrak
22
3
0
15 Jun 2023
Informative Data Selection with Uncertainty for Multi-modal Object
  Detection
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xuzhi Zhang
Zhiwei Li
Zhenhong Zou
Xinchen Gao
Yijin Xiong
Dafeng Jin
Jun Li
Huaping Liu
35
5
0
23 Apr 2023
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust
  Autonomous Perception and Scenario Understanding
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
Junyao Wang
Arnav V. Malawade
Junhong Zhou
Shi Yu
Mohammad Abdullah Al Faruque
27
10
0
17 Apr 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution
  uncertainty quantification
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
UQCV
22
2
0
08 Apr 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model
  Uncertainty Compensation
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
16
1
0
29 Mar 2023
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining
  and Knowledge Embedding
Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
Pengfei Zhu
Mengshi Qi
Xia Li
Weijian Li
Huadong Ma
23
6
0
17 Mar 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep
  Learning
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng
Guangyong Chen
Yang Yu
Fu-Lun Liu
Pheng-Ann Heng
EDL
UQCV
FedML
35
41
0
03 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDL
UQCV
AI4CE
19
18
0
26 Feb 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
47
13
0
01 Feb 2023
Semi-Supervised Object Detection with Object-wise Contrastive Learning
  and Regression Uncertainty
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty
H. Choi
Zhixiang Chen
Xuepeng Shi
Tae-Kyun Kim
19
4
0
06 Dec 2022
Calibrated Perception Uncertainty Across Objects and Regions in
  Bird's-Eye-View
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View
Markus Kängsepp
Meelis Kull
UQCV
15
4
0
08 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
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
36
24
0
08 Nov 2022
Confidence-Calibrated Face and Kinship Verification
Confidence-Calibrated Face and Kinship Verification
Min Xu
Ximiao Zhang
Xiuzhuang Zhou
CVBM
37
4
0
25 Oct 2022
ConfMix: Unsupervised Domain Adaptation for Object Detection via
  Confidence-based Mixing
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Giulio Mattolin
Luca Zanella
Elisa Ricci
Yiming Wang
ObjD
27
40
0
20 Oct 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
43
5
0
13 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly
  Supervised Point Cloud Semantic Segmentation
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation
Min Seok Lee
Seok Woo Yang
S. W. Han
3DPC
22
21
0
02 Oct 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
39
1
0
18 Jul 2022
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on
  UAV Remote-Sensing Imagery
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery
Pappu K. Yadav
J. Thomasson
Robert G Hardin
S. Searcy
U. Braga-Neto
...
R. Rodriguez
K. Meza
J. Enciso
Jorge Solorzano Diaz
Tianyi Wang
24
36
0
14 Jul 2022
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