Research Article
Research on the Detection Technique of Situation Elements in Obscure Overlapping Scenes
Table 1
Comparison of the average accuracy rates of YOLOv3, SE-YOLO, and SEDNet.
| | YOLOv3(%) | SE-YOLO(%) | SEDNet(%) |
| Submarine | 89.09 | 94.10 | 99.12 | UAV | 77.20 | 80.00 | 92.93 | Dog | 90.03 | 90.86 | 90.65 | Tank | 65.71 | 79.87 | 89.20 | Warship | 72.96 | 83.10 | 87.92 | Fighter | 72.52 | 76.58 | 82.46 | Soldier | 61.34 | 73.63 | 80.38 | Helicopter | 55.98 | 75.33 | 78.49 | Truck | 48.87 | 67.41 | 72.55 | Gun | 38.53 | 48.90 | 64.64 | mAP | 67.22 | 76.98 | 83.83 |
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