HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images
Published 2020 View Full Article
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Title
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 1, Pages 71
Publisher
MDPI AG
Online
2020-12-28
DOI
10.3390/rs13010071
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Related references
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- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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- Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours
- (2010) Salman Ahmadi et al. International Journal of Applied Earth Observation and Geoinformation
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