Multi-level Contextual RNNs with Attention Model for Scene Labeling.
IEEE Transactions on Intelligent Transportation Systems(2018)
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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