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Found 6 papers, 1 papers with code
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving
We obtain the state-of-the-art results on KITTI for depth estimation and pose estimation tasks and competitive performance on the other tasks.
Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS
Secondly, a pruning method is applied to compress the CNN, helping to reduce the runtime and memory usage by a factor of 2 without lowering the performances significantly.
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Deep multi-task networks are of particular interest for autonomous driving systems.
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
We provide a holistic overview of an industrial system covering the embedded system, use cases and the deep learning architecture.
NeurAll: Towards a Unified Visual Perception Model for Automated Driving
In this paper, we propose a joint multi-task network design for learning several tasks simultaneously.
Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving
In this paper, we present a joint multi-task network design for learning object detection and semantic segmentation simultaneously.
