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Journals >
Journal of Geo-information Science >
Volume 22 >
Issue 1 >
Page 88 > Article
Journal of Geo-information Science
Vol. 22, Issue 1, 88 (2020)
Anchor-Free Traffic Sign Detection
Hongchao FAN
1、1、*
, Wanzhi LI
2、2
, and Chaoquan ZHANG
1、1、2、2
Author Affiliations
1
Norwegian University of Science and Technology, Trondheim 7491, Norway
1
挪威科技大学,特隆赫姆7491
2
Wuhan University, Wuhan 430072, China
2
武汉大学,武汉430072
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DOI:
10.12082/dqxxkx.2020.190424
Cite this Article
Hongchao FAN, Wanzhi LI, Chaoquan ZHANG.
Anchor-Free Traffic Sign Detection
[J]. Journal of Geo-information Science, 2020, 22(1): 88
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Fig. 1.
AF-TSD network structure
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Fig. 2.
Pre-processing of the input image
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Fig. 3.
Pipeline of deformable convolution
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Fig. 4.
Traditional convolution and deformable convolution
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Fig. 5.
Pipeline of the attention mechanism
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Fig. 6.
GTSDB dataset
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Fig. 7.
Curve of precision relative to recall rate in traffic sign detection
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Fig. 8.
Curve of training loss and test loss in AF-TSD network (the first 150 iterations)
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Fig. 9.
Traffic signs detection results
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方法
输入图像尺寸像元×像元
mAP/%
s/每张图
Faster R-CNN
608
×
608
88.50
0.120
RetinaNet
608
×
608
92.43
0.094
YOLOv3
608
×
608
93.54
0.024
YOLOv3(Anchor-free)
608
×
608
94.92
0.026
AF-TSD
608
×
608
96.80
0.032
Table 2.
Performance comparison of AF-TSD with Faster R-CNN, RetinaNet, YOLOv3, and YOLOve (Anchor-free)
Abstract
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References (41)
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Hongchao FAN, Wanzhi LI, Chaoquan ZHANG.
Anchor-Free Traffic Sign Detection
[J]. Journal of Geo-information Science, 2020, 22(1): 88
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Paper Information
Special Issue:
Received: Aug. 5, 2019
Accepted: --
Published Online: Jan. 25, 2020
The Author Email: FAN Hongchao (hongchao.fan@ntnu.no)
DOI:
10.12082/dqxxkx.2020.190424
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