Joint-Confidence-Guided Multi-Task Learning for 3D Reconstruction and Understanding From Monocular Camera
Author:
Affiliation:
1. Department of Automation and the Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Shanghai, China
2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9991910/10036455.pdf?arnumber=10036455
Reference51 articles.
1. GradNorm: Gradient normalization for adaptive loss balancing in deep multitask networks;chen;Proc Int Conf Mach Learn,2018
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3. Multi-task learning for dense prediction tasks: A survey;vandenhende;arXiv 2004 13379,2020
4. Multi-task learning as multi-objective optimization;sener;arXiv 1810 04650,2018
5. Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation
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