TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Objec...
TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection
About this item
Full title
Author / Creator
Li, Jiayuan , Wang, Zhen , Xu, Nan and Zhang, Chuanlei
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
Recent advances in deep learning have witnessed the wide application of convolutional neural networks (CNNs), Transformer models, and Mamba models in optical remote sensing image (ORSI) analysis, particularly for salient object detection (SOD) tasks in disaster warning, urban planning, and military surveillance. Although existing methods improve de...
Alternative Titles
Full title
TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c78894544cb64037a5951747318b4dbe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c78894544cb64037a5951747318b4dbe
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs17111902
