MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection

4 October 2020

Papers citing "MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection"

26 / 26 papers shown

Title
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification Laura Fieback Jakob Spiegelberg Hanno Gottschalk MLLM 105 5 0 29 May 2024
Multivariate Confidence Calibration for Object Detection Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff UQCV 26 112 0 28 Apr 2020
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk 31 16 0 16 Dec 2019
Detection of False Positive and False Negative Samples in Semantic Segmentation Matthias Rottmann Kira Maag Robin Shing Moon Chan Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 44 23 0 08 Dec 2019
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 57 34 0 12 Nov 2019
Uncertainty Estimation in One-Stage Object Detection Florian Kraus Klaus C. J. Dietmayer UQCV 42 83 0 24 May 2019
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images Matthias Rottmann Marius Schubert UQCV 49 38 0 09 Apr 2019
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors Ali Harakeh Michael H. W. Smart Steven L. Waslander BDL UQCV 44 117 0 09 Mar 2019
Calibrating Uncertainties in Object Localization Task Buu Phan Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Taylor Denouden Sachin Vernekar UQCV 52 22 0 27 Nov 2018
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities Matthias Rottmann Pascal Colling Thomas-Paul Hack Robin Shing Moon Chan Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 99 81 0 01 Nov 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 96 105 0 17 Sep 2018
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection Di Feng Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer 3DPC 57 69 0 14 Sep 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 41 87 0 19 Apr 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng Lars Rosenbaum Klaus C. J. Dietmayer 3DPC UQCV 62 244 0 13 Apr 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 98 21,306 0 08 Apr 2018
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection Onur Ozdemir Benjamin Woodward A. Berlin UQCV MedIm 47 37 0 01 Dec 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf BDL UQCV 61 235 0 18 Oct 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 222 5,774 0 14 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 120 3,420 0 07 Oct 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 609 36,643 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 533 9,233 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 423 61,900 0 04 Jun 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 67 95 0 06 Apr 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 201 18,922 0 20 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 336 43,290 0 01 May 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 288 25,443 0 09 Jun 2011