【摘 要】
：
Learning-based multi-task models have been widely used in various scene understanding tasks, and complement each other, i.e., they allow us to consider prior semantic information to better infer depth
【机 构】
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StateKeyLaboratoryofMediaConvergenceandCommunication、KeyLaboratoryofAcousticVisualTechnologyandIntel
【基金项目】
：
This work was supported by the national key research development plan(Project No.YS2018YFB1403703),research project of the communication university of china(Project No.CUC200D058).
论文部分内容阅读
Learning-based multi-task models have been widely used in various scene understanding tasks, and complement each other, i.e., they allow us to consider prior semantic information to better infer depth. We boost the unsupervised monocular depth estimati
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