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Jul, 2021
CutDepth:基于边缘感知的深度估计数据增强
CutDepth:Edge-aware Data Augmentation in Depth Estimation
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Yasunori Ishii, Takayoshi Yamashita
TL;DR
这篇论文研究了单目深度估计这一任务的数据扩充方法，并提出了一种名为CutDepth的数据扩增方法，能够在不破坏边缘特征的情况下扩充数据，从而显著提高了估计精度。
Abstract
It is difficult to collect data on a large scale in a
monocular depth estimation
because the task requires the simultaneous acquisition of RGB images and depths.
data augmentation
is thus important to this task.
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