BriefGPT.xyz
May, 2021
自监督对比学习与自训练在语义分割的无监督领域自适应中的应用
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
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Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
TL;DR
本文提出了一种基于对比学习和自我训练的方法,该方法可以很好地应用于不同领域的实例进行语义分割,可以将语义类别在跨域上进行对齐,从而达到更好的结果。
Abstract
Deep
convolutional neural networks
have considerably improved state-of-the-art results for
semantic segmentation
. Nevertheless, even modern architectures lack the ability to generalize well to a test dataset that
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