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Apr, 2019
城市场景语义分割的弱监督对抗域适应
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
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Qi Wang, Junyu Gao, Xuelong Li
TL;DR
本研究提出了基于弱监督对抗领域适应的方法,通过三个深度神经网络(DS、PDC和ODC)改善从合成数据到真实场景的语义分割性能,并在实验中取得了新的记录。
Abstract
semantic segmentation
, a
pixel-level vision task
, is developed rapidly by using
convolutional neural networks
(CNNs). Training CNNs requir
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