Multi-level Contextual RNNs with Attention Model for Scene Labeling.

IEEE Transactions on Intelligent Transportation Systems(2018)

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摘要
Image context in image is crucial for improving scene labeling. While the existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, the long-range and global contextual information is often ignored. To handle this issue, we propose a novel approach for scene labeling by multi-level contextual recurrent neural networks (RNNs). We encode three ...
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关键词
Labeling,Recurrent neural networks,Semantics,Feature extraction,Context modeling,Image segmentation,Intelligent transportation systems
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