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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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1544; no. 1; pp. 12033 - 12038
Main Authors: Du, Lixuan, Zhang, Rongyu, Wang, Xiaotian
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.05.2020
Subjects:
Algorithms
Meteorological satellites
Object recognition
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary: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.
Bibliography: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