2 papers
cs.CV2021
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
Flora Dellinger, Thomas Boulay, Diego Mendoza Barrenechea +3
Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deploymen…
cs.CV2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang, Ganesh Sistu, Fabian Burger +2
Deep multi-task networks are of particular interest for autonomous driving systems. They can potentially strike an excellent trade-off between predictive performance, hardware cons…