ACMFNet: Attention-Based Cross-Modal Fusion Network for Building Extraction of Remote Sensing Images
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
Youth Innovation Promotion Association, Chinese Academy of Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10530292.pdf?arnumber=10530292
Reference67 articles.
1. An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification
2. A review of deep learning methods for semantic segmentation of remote sensing imagery
3. Fast SAR Image Segmentation With Deep Task-Specific Superpixel Sampling and Soft Graph Convolution
4. Fast Task-Specific Region Merging for SAR Image Segmentation
5. CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
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