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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Vydané v:Journal of physics. Conference series Ročník 1544; číslo 1; s. 12033 - 12038
Hlavní autori: Du, Lixuan, Zhang, Rongyu, Wang, Xiaotian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bristol IOP Publishing 01.05.2020
Predmet:
Algorithms
Meteorological satellites
Object recognition
ISSN:1742-6588, 1742-6596
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1544/1/012033