Multi-level Contextual RNNs with Attention Model for Scene Labeling

IEEE Transactions on Intelligent Transportation Systems, pp. 3475-3485, 2018.

Cited by: 29|Bibtex|Views28|DOI:https://doi.org/10.1109/TITS.2017.2775628
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

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 c...More

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