Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images-Reference-Cited by-同舟云学术

Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ni Huan¹^ORCID,Liu Qingshan²^ORCID,Guan Haiyan¹^ORCID,Tang Hong³^ORCID,Chanussot Jocelyn⁴^ORCID

Affiliation:

1. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China

3. Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, China

4. Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, Grenoble, France

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10113334.pdf?arnumber=10113334

Reference48 articles.

1. Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation;luo;Proc IEEE/CVF Conf Comput Vis Pattern Recognit (CVPR),2019

2. Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images

3. Generative adversarial nets;goodfellow;Proc Adv Neural Inf Process Syst,2014

4. Unsupervised Adversarial Domain Adaptation Network for Semantic Segmentation

5. Unsupervised Domain Adaptation for Semantic Segmentation of High-Resolution Remote Sensing Imagery Driven by Category-Certainty Attention

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