基于特征复用机制的航拍图像小目标检测算法
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邓天民,程鑫鑫,刘金凤,张曦月
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Small target detection algorithm for aerial images based on feature reuse mechanism
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Tianmin DENG,Xinxin CHENG,Jinfeng LIU,Xiyue ZHANG
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表 2 主干网络消融实验的检测性能结果对比 |
Tab.2 Comparison of detection performance results of Backbone ablation experiment |
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模型 | ESNet | TFPC | CA | Ghost | mAP0.5/% | mAP0.5:0.95/% | R/% | P/MB | M/MB | F/(帧·s−1) | 1)注:“√”表示加入相应模块,“—”表示未加入相应模块. | YOLOv8 | —1) | — | — | — | 40.9 | 24.6 | 39.3 | 11.13 | 21.4 | 144.9 | (a) | √ | — | — | — | 45.2(+4.3) | 27.5 | 43.3 | 4.67 | 8.5 | 83.3 | (b) | √ | √ | — | — | 45.9(+5.0) | 28.1 | 43.4 | 5.09 | 10.1 | 82.6 | (c) | √ | — | √ | — | 45.4(+4.5) | 27.5 | 43.7 | 4.67 | 9.3 | 79.3 | (d) | √ | — | — | √ | 45.1(+4.2) | 27.4 | 43.5 | 4.87 | 9.6 | 81.3 | (e) | √ | √ | √ | — | 46.1(+5.2) | 28.1 | 44.2 | 5.08 | 10.2 | 81.9 | (f) | √ | √ | — | √ | 45.8(+4.9) | 27.8 | 43.1 | 5.28 | 10.3 | 82.0 | (g) | √ | — | √ | √ | 45.7(+4.8) | 27.7 | 43.0 | 4.86 | 10.4 | 82.6 | (h) | √ | √ | √ | √ | 46.2(+5.3) | 28.3 | 44.5 | 5.27 | 10.8 | 80.0 |
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