Figure 1.
YOLOv3 overall structure
Figure 2.
PaNet overall structure
Figure 3.
YOLOv3 structure after introduction of PaNet
TABLE I.
Detection accuracy of each category on DOIR dataset
| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 |
| Airplane | Airport | Baseball field | Basketball court | Bridge | Chimney | Dam | Expressway service area | Expressway toll station | Golf course |
| c11 | c12 | c13 | c14 | c15 | c16 | c17 | c18 | c19 | c20 |
| Ground track field | Harbor | Overpass | Ship | Stadium | Storage tank | Tennis court | Train station | Vechile | Wind mill |
| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 | c14 | c15 | c16 | c17 | c18 | c19 | c20 | mAP | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| YOLOv3 | 90.9 | 69.5 | 81.7 | 78.6 | 61.2 | 69.7 | 66.9 | 88.6 | 74.4 | 61.1 | 89.1 | 44.9 | 49.7 | 90.4 | 70.6 | 68.7 | 87.3 | 59.4 | 68.3 | 78.7 | 72.5 |
| 改进 YOLOv3 | 96.7 | 95.1 | 98.2 | 85.6 | 71.7 | 95.4 | 79 | 96.1 | 91.3 | 90.1 | 92.4 | 68.2 | 74.2 | 92.5 | 90.8 | 80.5 | 96.7 | 77 | 84.9 | 96 | 87.6 |
Figure 4.
P_R curve
Figure 5.
The detection effect of improved YOLOv3