MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation

16 December 2019

Robin Shing Moon Chan

Papers citing "MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation"

21 / 21 papers shown

Title
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 49 34 0 12 Nov 2019
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Radin Dardashti Fabian Hüger Peter Schlicht Hanno Gottschalk 16 11 0 02 Jul 2019
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images Matthias Rottmann Marius Schubert UQCV 40 38 0 09 Apr 2019
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk SSeg 38 40 0 24 Jan 2019
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 89 81 0 01 Nov 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 99 114 0 02 Jul 2018
Uncertainty Estimation via Stochastic Batch Normalization Andrei Atanov Arsenii Ashukha Dmitry Molchanov Kirill Neklyudov Dmitry Vetrov UQCV BDL 53 47 0 13 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 67 584 0 13 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 113 13,005 0 07 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 129 19,124 0 13 Jan 2018
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 104 2,335 0 15 Oct 2017
Loss Max-Pooling for Semantic Image Segmentation Samuel Rota Buló Gerhard Neuhold Peter Kontschieder SSeg 65 116 0 10 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 255 4,667 0 15 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 791 14,454 0 07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 95 3,420 0 07 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 145 2,349 0 21 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 616 11,540 0 06 Apr 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 49 878 0 14 Aug 2015
Joint Calibration for Semantic Segmentation Holger Caesar J. Uijlings V. Ferrari 49 37 0 06 Jul 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 450 9,233 0 06 Jun 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 261 25,443 0 09 Jun 2011