Multi-Scale Detection for X-Ray Prohibited Items in Complex Background

Table 1. Index under different number of TUMs
View table
Table 1. Index under different number of TUMs
Number of TUMs Parameters /Mbit mAP /%
2 182.05 73.34
4 227.88 73.99
6 293.61 76.89
8 331.62 79.03
10 383.78 79.62

Table 2. Experiment effect of feature fusion enhancement module

View table

Table 2. Experiment effect of feature fusion enhancement module

Structure	Integration of pool 5	mAP /%
Baseline(conv 4_3+pool 5)	×	79.03(0)
Three layers (pool 3+conv 4_3+pool 5)	×	81.94(2.91↑)
Three layers (pool 3+conv 4_3+pool 5)	√	82.82(3.79↑)
Four layers (pool 2+pool 3+conv 4_3+pool 5)	×	81.13(2.10↑)
Four layers (pool 2+pool 3+conv 4_3+pool 5)	√	82.05(3.02↑)

Table 3. Experimental effects of U-shaped network recursive module and residual edge attention module

View table

Table 3. Experimental effects of U-shaped network recursive module and residual edge attention module

Structure	Parameters /Mbit	Residual edge attention module	mAP /%
8 TUM	334.50	×	82.82
1 RTUM +7 TUM	356.67	×	83.61(0.79↑)
8 RTUM	514.89	×	84.09(1.27↑)
8 RTUM+CBAM	517.89(3.00↑)	×	85.12(2.30↑)
8 RTUM+CBAM	517.89(3.00↑)	√	85.40(2.58↑)
8 RTUM+ECA	511.86(3.00↓)	×	84.86(2.04↑)
8 RTUM+ECA	511.86(3.00↓)	√	85.02(2.20↑)

Table 4. Accuracy of different detection models

View table

Table 4. Accuracy of different detection models

Framework	Accuracy /%					mAP /%
Framework	Gun	Pilers	Scissors	Knife	Wrench	mAP /%
SSD	92	72	66	55	52	70.9
Faster RCNN	93	75	71	65	67	74.2
YOLOv3	92	71	64	53	51	66.2
M2Det	94	83	76	74	68	79.0
M2Det+EFFM	96	86	82	77	73	82.8
M2Det+EFFM+RTUM	96	88	82	78	76	84.0
EM2Det	98	89	84	79	77	85.4

Tools

Get Citation

Copy Citation Text

Ke Zhang, Liang Zhang. Multi-Scale Detection for X-Ray Prohibited Items in Complex Background[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210002

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites