Depth Based Semantic Scene Completion With Position Importance Aware Loss.
IEEE Robotics and Automation Letters(2020)
摘要
Semantic scene completion (SSC) refers to the task of inferring the 3D semantic segmentation of a scene while simultaneously completing the 3D shapes. We propose PALNet, a novel hybrid network for SSC based on single depth. PALNet utilizes a two-stream network to extract both 2D and 3D features from multi-stages using fine-grained depth information to efficiently capture the context, as well as th...
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关键词
Three-dimensional displays,Semantics,Two dimensional displays,Task analysis,Training,Anisotropic magnetoresistance,Image segmentation
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