Real-Time Semantic Segmentation: A brief survey and comparative study in remote sensing-Reference-Cited by-同舟云学术

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Real-Time Semantic Segmentation: A brief survey and comparative study in remote sensing

Published:2023-12 Issue:4 Volume:11 Page:94-124
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Broni-Bediako Clifford¹^ORCID,Xia Junshi¹^ORCID,Yokoya Naoto¹^ORCID

Affiliation:

1. RIKEN Center for Advanced Intelligence Project, Geoinformatics Team, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6245518/10367907/10292940.pdf?arnumber=10292940

Reference184 articles.

1. Computer Vision

2. DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

3. Feature pyramid encoding network for real-time semantic segmentation;Liu,2019

4. Semantic Flow for Fast and Accurate Scene Parsing

5. Dense Dual-Path Network for Real-Time Semantic Segmentation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OpenEarthMap Benchmark Suite and Its Applications;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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