Fig 1.
General structure of the paper.
Fig 2.
Where “pred” consists of a 3×3 convolutional operator and two de-convolutional operators with stride 2. The “1/2”, “1/4”, … and “1/32” indicate the scale ratio compared to the input image.
Fig 3.
(A) BottleNeck structure diagram (B) ECA structure diagram.
Fig 4.
LSTR structure diagram.
Fig 5.
Inference layer model diagram.
Table 1.
Detection model comparison.
Table 2.
Comparison results of different backbone networks.
Table 3.
Backbone network performance comparison.
Fig 6.
Detection results of different models.
The number in the center of the bubble indicates Precision, and the area of the bubble is proportional to F-Measure.
Table 4.
Comparison of different recognition models.
Table 5.
Model performance comparison.