BOOK-CHAPTER

Deep Context Convolutional Neural Networks for Semantic Segmentation

Wenbin YangQuan ZhouYawen FanGuangwei GaoSongsong WuWeihua OuHuimin LuJie ChengLongin Jan Latecki

Year: 2017 Communications in computer and information science Pages: 696-704   Publisher: Springer Science+Business Media
Keywords:
Convolutional neural network Computer science Segmentation Artificial intelligence Pattern recognition (psychology) Feature (linguistics) Pascal (unit) Pixel Context (archaeology) Semantic feature Deep learning Exploit Geography

Metrics

17
Cited By
6.15
FWCI (Field Weighted Citation Impact)
33
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Multimodal Machine Learning Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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