Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Author:
Affiliation:
1. DGIST,Department of Electrical Engineering & Computer Science,Daegu,Korea
2. DGIST,Department of Interdisciplinary Studies of Atrificial Intelligence,Daegu,Korea
3. Autonomous Driving Center, Hyundai Motor Company,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610716.pdf?arnumber=10610716
Reference58 articles.
1. An overview of multi-task learning in deep neural networks;Ruder,2017
2. Learning with whom to share in multi-task feature learning;Kang
3. Which tasks should be learned together in multi-task learning?;Standley
4. Cross-Stitch Networks for Multi-task Learning
5. Sluice networks: Learning what to share between loosely related tasks;Ruder,2017
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