High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation

Author:

Zheng Chengyu1,Nie Jie1ORCID,Wang Zhaoxin1,Song Ning1,Wang Jingyu1ORCID,Wei Zhiqiang1

Affiliation:

1. College of Information Science and Engineering, Ocean University of China, Qingdao, China

Funder

National Natural Science Foundation of China

Major Scientific and Technological Innovation Project Shandong

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference42 articles.

1. ACFNet: Attentional Class Feature Network for Semantic Segmentation

2. QATM: Quality-Aware Template Matching for Deep Learning

3. Context Encoding for Semantic Segmentation

4. Deep Residual Learning for Image Recognition

5. Multiattention network for semantic segmentation of fine-resolution remote sensing images;li;IEEE Trans Geosci Remote Sens,2021

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