BriefGPT.xyz
Apr, 2019
学习如何为立体感应适应
Learning to Adapt for Stereo
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Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan...
TL;DR
介绍了一种“学习适应”框架,可以让基于深度学习的立体视觉方法以一种无监督的方式不断适应新的目标领域,从而适用于现实世界的应用,例如自动驾驶。
Abstract
Real world applications of
stereo depth estimation
require models that are robust to dynamic variations in the environment. Even though
deep learning
based stereo methods are successful, they often fail to genera
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