Scene Parsing with Global Context Embedding

ICCV 2017 Wei-Chih HungYi-Hsuan TsaiXiaohui ShenZhe LinKalyan SunkavalliXin LuMing-Hsuan Yang

We present a scene parsing method that utilizes global context information based on both the parametric and non- parametric models. Compared to previous methods that only exploit the local relationship between objects, we train a context network based on scene similarities to generate feature representations for global contexts... (read more)

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