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Digging Into Self-Supervised Monocular Depth Estimation(2019.8)
时间 2020-07-04
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digging
self
supervised
monocular
depth
estimation
2019.8
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深刻研究基于自监督的单目深度估计 贡献: (1)一个最小投影损失来解决遮挡问题。网络 (2)全分辨率的多尺度采样方法,减小视觉混乱app (3)设计一个 auto-masking loss 来忽略相机运动假设函数 1、介绍 做为监督学习的替代选择,自监督方法被证实可以仅使用合成的立体图像对或单目视频对单目深度估计模型进行训练。学习 在两种自监督方法中,单目视频比基于立体图像的监
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相关文章
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