Is my Driver Observation Model Overconfident? Input-guided Calibration
Networks for Reliable and Interpretable Confidence Estimates

Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates

10 April 2022

David Schneider

Kailun Yang

Marios Koulakis

Manuel Martínez

Rainer Stiefelhagen

Papers citing "Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates"

5 / 5 papers shown

Title
On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars Walter Morales-Alvarez N. Certad Alina Roitberg Rainer Stiefelhagen Cristina Olaverri-Monreal 28 2 0 31 Jul 2023
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition Zachary Wharton Ardhendu Behera Yonghuai Liu Nikolaos Bessis 39 35 0 17 Jan 2021
DriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework Okan Kopuklu Thomas Ledwon Yao Rong Neslihan Köse Gerhard Rigoll 40 23 0 02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015