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01/19/2021
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
Camera-based Deep Learning algorithms are increasingly needed for percep...
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01/07/2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Deep multi-task networks are of particular interest for autonomous drivi...
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12/23/2019
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
Automated Parking is a low speed manoeuvring scenario which is quite uns...
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02/10/2019
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving
Convolutional Neural Networks (CNNs) are successfully used for the impor...
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01/12/2019
