Overview of two-stage object detection algorithms

Nowadays, object detection has gradually become a quite popular field. From the traditional methods to the methods used at this stage, object detection technology has made great progress, and is still continuously developing and innovating. This paper reviews two-stage object detection algorithms us...

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Veröffentlicht in:Journal of physics. Conference series Jg. 1544; H. 1; S. 12033 - 12038
Hauptverfasser: Du, Lixuan, Zhang, Rongyu, Wang, Xiaotian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.05.2020
Schlagworte:
Algorithms
Meteorological satellites
Object recognition
ISSN:1742-6588, 1742-6596
Online-Zugang:Volltext
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Zusammenfassung:Nowadays, object detection has gradually become a quite popular field. From the traditional methods to the methods used at this stage, object detection technology has made great progress, and is still continuously developing and innovating. This paper reviews two-stage object detection algorithms used at this stage, explaining in detail the working principles of Faster R-CNN, R-FCN, FPN, and Casecade R-CNN and analyzing the similarities and differences between these four two-stage object detection algorithms. Then we used HSRC2016 ship dataset to perform experiments with Faster R-CNN, R-FCN, FPN, and Casecade R-CNN and compared the effectiveness of them with experimental results.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1544/1/012033