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Journals >
Laser & Optoelectronics Progress >
Volume 57 >
Issue 6 >
Page 061008 > Article
Laser & Optoelectronics Progress
Vol. 57, Issue 6, 061008 (2020)
Object Detection Algorithm Guided by Dual Attention Models
Zhong Ji, Qiankun Kong, and Jian Wang
*
Author Affiliations
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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DOI:
10.3788/LOP57.061008
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Zhong Ji, Qiankun Kong, Jian Wang. Object Detection Algorithm Guided by Dual Attention Models[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061008
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Fig. 1.
Architecture of the proposed DAGM model
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Fig. 2.
Architecture of MFCA model
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Fig. 3.
Visualization of the feature map
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Fig. 4.
Architecture of SCSA model
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Fig. 5.
AP histogram of different detection algorithms
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Method
Backbone
AP
AP
50
AP
75
AP
S
AP
M
AP
L
Faster R-CNN+++
[
8
]
ResNet-101-C4
34.9
55.7
37.4
15.6
38.7
50.9
Faster R-CNN (FR) by
G-RMI
[
28
]
ResNet-101-C4
34.7
55.5
36.7
13.5
38.1
52.0
YOLOv2
[
24
]
DarkNet-19
21.6
44.0
19.2
5.0
22.4
35.5
SSD513
[
4
]
ResNet-101-SSD
31.2
50.4
33.3
10.2
34.5
49.8
DSSD513
[
26
]
ResNet-101-DSSD
33.2
53.3
35.2
13.0
35.4
51.1
RON
[
31
]
VGG-16
27.4
27.1
49.5
-
-
-
DeNet
[
29
]
DeNet-101
33.8
53.4
36.1
12.3
36.1
50.8
CoupleNet
[
22
]
ResNet-101
33.1
53.5
35.4
11.6
36.3
50.1
YoLov3
[
25
]
DarkNet-53
33.0
57.9
34.4
18.3
35.4
41.9
SIN
[
23
]
VGG-16
23.2
44.5
22.0
7.3
24.5
36.3
Relation Network
[
32
]
ResNet-50
32.5
54.0
33.8
-
-
-
MLKP
[
30
]
ResNet-101
26.9
48.4
26.9
8.6
29.2
41.1
MFCA (ours)
ResNet-101
36.2
54.5
38.7
18.5
39.2
47.6
Table 1.
Comparison of detection results with different detection algorithms%
Module
Backbone
AP
AP
50
AP
75
AP
S
AP
M
AP
L
Baseline
ResNet-101
35.0
52.6
37.7
17.1
38.8
48.0
Baseline+MFCA
ResNet-101
35.5
53.3
38.1
18.4
39.2
48.1
Baseline+MFCA+SCSA
ResNet-101
35.9
54.0
38.6
18.8
39.8
48.5
Table 2.
Comparison of test results of each module%
Abstract
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Zhong Ji, Qiankun Kong, Jian Wang. Object Detection Algorithm Guided by Dual Attention Models[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061008
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Paper Information
Category: Image Processing
Received: Jul. 10, 2019
Accepted: Aug. 28, 2019
Published Online: Mar. 5, 2020
The Author Email: Wang Jian (jianwang@tju.edu.cn)
DOI:
10.3788/LOP57.061008
Recommended Topics
laser devices and laser physics
Lasers and Laser Optics
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Instrumentation, Measurement and Metrology
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