Web: http://arxiv.org/abs/2110.13076

Sept. 19, 2022, 1:14 a.m. | Lijun Zhang, Xiao Liu, Hui Guan

cs.CV updates on arXiv.org arxiv.org

Multi-task learning (MTL) jointly learns a set of tasks by sharing parameters
among tasks. It is a promising approach for reducing storage costs while
improving task accuracy for many computer vision tasks. The effective adoption
of MTL faces two main challenges. The first challenge is to determine what
parameters to share across tasks to optimize for both memory efficiency and
task accuracy. The second challenge is to automatically apply MTL algorithms to
an arbitrary CNN backbone without requiring time-consuming manual …

arxiv framework multi-task learning programming

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