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In object detection with deep neural networks, the box-wise objectness score tends to be overconfident, sometimes even indicating high confidence in presence of inaccurate predictions.
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The pascal visual object classes (voc) challenge
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J. Redmon, S. K. Divvala, R. B. Girshick, and A. Farhadi · 2015
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Y. Gal and Z. Ghahramani · 2016
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D. Hendrycks and K. Gimpel · 2016
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C. Huang, Q. Wu, and F. Meng · 2016
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C. Guo, G. Pleiss, Y. Sun, and K. Q. Weinberger · 2017
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S. Liang, Y. Li, and R. Srikant · 2017
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B. Phan, R. Salay, K. Czarnecki, V. Abdelzad, T. Denouden, and S. Vernekar · 2018
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J. Redmon and A. Farhadi · 2018
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Metafusion: Controlled false-negative reduction of minority classes in semantic segmentation
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D. Miller, L. Nicholson, F. Dayoub, and N. Sünderhauf · 2017
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O. Ozdemir, B. Woodward, and A. A. Berlin · 2017
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D. Feng, L. Rosenbaum, and K. Dietmayer · 2018
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Leveraging heteroscedastic aleatoric uncertainties for robust real-time lidar 3d object detection
D. Feng, L. Rosenbaum, F. Timm, and K. Dietmayer · 2018
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Softer-nms: Rethinking bounding box regression for accurate object detection
Y. He, X. Zhang, M. Savvides, and K. Kitani · 2018
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Uncertainty estimation for deep neural object detectors in safety-critical applications
M. Le, F. Diehl, T. Brunner, and A. Knol · 2018
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Evaluating merging strategies for sampling-based uncertainty techniques in object detection
D. Miller, F. Dayoub, M. Milford, and N. Sünderhauf · 2018
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R. Chan, M. Rottmann, F. Hüger, P. Schlicht, and H. Gottschalk · 2019
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Bayesod: A bayesian approach for uncertainty estimation in deep object detectors
A. Harakeh, M. Smart, and S. L. Waslander · 2019
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Aleatoric and epistemic uncertainty in machine learning: A tutorial introduction
E. Hüllermeier and W. Waegeman · 2019
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Uncertainty estimation in one-stage object detection
F. Kraus and K. Dietmayer · 2019
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Time-dynamic estimates of the reliability of deep semantic segmentation networks
K. Maag, M. Rottmann, and H. Gottschalk · 2019
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Uncertainty measures and prediction quality rating for the semantic segmentation of nested multi resolution street scene images
M. Rottmann and M. Schubert · 2019
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Multivariate confidence calibration for object detection
F. Küppers, J. Kronenberger, A. Shantia, and nselm Haselhoff · 2020
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Detection of false positive and false negative samples in semantic segmentation
M. Rottmann, K. Maag, R. Chan, F. Hüger, P. Schlicht, and H. Gottschalk · 2020
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