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Nov, 2018
独立先验下的分割掩模学习
Learning Segmentation Masks with the Independence Prior
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Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong...
TL;DR
我们提出了一种基于生成对抗网络(GANs)的独立先验的新框架,利用具有多个类别特定实例提供者、布局模块和组合模块的生成器生成图像,并通过散度损失和罚款进行训练,展示了该先验对实例分割很有用,并且可无监督地学习实例掩码。
Abstract
An instance with a bad mask might make a composite image that uses it look fake. This encourages us to learn
segmentation
by generating realistic
composite images
. To achieve this, we propose a novel framework th
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