DeepLab V3

DeeplabV3,即多尺度(multiple scales)分割物体,设计了串行和并行的带孔卷积模块,采用多种不同的atrous rates来获取多尺度的内容信息

语义分割
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contributed at 2020-02-15

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Geography SubjectGIScience & Remote SensingImagery Processing

Detailed Description

模型“ DeepLabv3”利用无意义的卷积和超采样滤波器来提取密集的特征图,并捕获远程上下文。 具体来说,为了编码多尺度信息,建议的级联模块逐渐将atrous速率提高一倍,而提出的带有图像级特征的atrous空间金字塔池模块将以多种采样率和有效视场对滤波器进行探测。 实验结果表明,所提出的模型与以前的DeepLab版本相比有显着改进,并且在PASCAL VOC 2012语义图像分割基准测试中可与其他最新模型相比,表现相当。

How to cite

Liang-Chieh Chen , George Papandreou , Florian Schroff , Hartwig Adam (2020). DeepLab V3, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/a80bb059-599c-4570-9674-def987226799
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contributed at 2020-02-15

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