BriefGPT.xyz
Jun, 2018
单目内窥镜中用于密集深度估计的自监督学习
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
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Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory Hager...
TL;DR
本文提出一种无监督的自我监督方法,用于训练卷积神经网络从单目内窥镜数据中密集地估计深度,而无需先验建模解剖或着色。
Abstract
We present a
self-supervised approach
to training
convolutional neural networks
for
dense depth estimation
from
→