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Quantification of Uncertainties in Deep Learning-based Environment Perception

Quantification of Uncertainties in Deep Learning-based Environment Perception

Marco Braun
Moritz Luszek
Jan Siegemund
Kevin Kollek
A. Kummert
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Papers citing "Quantification of Uncertainties in Deep Learning-based Environment Perception"

4 / 4 papers shown
Title
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Divake Kumar
Nastaran Darabi
Sina Tayebati
A. R. Trivedi
74
0
0
11 Feb 2025
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time
Marco Braun
Moritz Luszek
M. Meuter
Dominic Spata
Kevin Kollek
A. Kummert
34
1
0
08 Jun 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,652
0
02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,145
0
06 Jun 2015