MoCG: Modality Characteristics-Guided Semantic Segmentation in Multimodal Remote Sensing Images
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Key Research and Development Program of China
Chinese Association for Artificial Intelligence (CAAI)-HuaweiMindSpore Open Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10330716.pdf?arnumber=10330716
Reference75 articles.
1. Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
2. TransUNet: Transformers make strong encoders for medical image segmentation;chen;arXiv 2102 04306,2021
3. Multimodal deep learning;ngiam;Proc 28th Int Conf Mach Learn (ICML),2011
4. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
5. Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
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