Transformer with Transfer CNN for Remote-Sensing-Image Object Detection
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection
About this item
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Author / Creator
Li, Qingyun , Chen, Yushi and Zeng, Ying
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Object detection in remote-sensing images (RSIs) is always a vibrant research topic in the remote-sensing community. Recently, deep-convolutional-neural-network (CNN)-based methods, including region-CNN-based and You-Only-Look-Once-based methods, have become the de-facto standard for RSI object detection. CNNs are good at local feature extraction b...
Alternative Titles
Full title
Transformer with Transfer CNN for Remote-Sensing-Image Object Detection
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7122a1db92814235a1eeb090737d748b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7122a1db92814235a1eeb090737d748b
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14040984
