基于融合注意力机制的光学遥感图像小目标检测算法
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宋耀莲,彭驰,唐菁敏,赵宣植,虞贵财
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Small object detection algorithm for optical remote sensing images based on fusion attention mechanism
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Yaolian SONG,Chi PENG,Jingmin TANG,Xuanzhi ZHAO,Guicai YU
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| 表 2 不同改进点组合的消融实验结果分析 |
| Tab.2 Analysis of ablation experiment results with different combinations of improvement points |
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| 序号 | 小目标层 | MFFM | CASA | MPDIoU | P/% | R/% | mAP50/% | mAP50:95/% | Params/106 | GFLOPs | | A | — | — | — | — | 88.5 | 81.5 | 87.1 | 31.9 | 20.85 | 47.9 | | B | √ | — | — | — | 89.7 | 82.0 | 87.9 | 32.7 | 21.29 | 56.3 | | C | — | √ | — | — | 89.5 | 83.2 | 87.8 | 31.9 | 21.62 | 52.1 | | D | — | — | √ | — | 91.4 | 82.4 | 88.6 | 33.3 | 20.92 | 48.3 | | E | — | — | — | √ | 89.9 | 83.1 | 88.2 | 32.8 | 20.85 | 47.9 | | F | √ | √ | √ | — | 91.7 | 84.0 | 89.1 | 33.0 | 22.13 | 62.3 | | G | √ | √ | — | √ | 90.7 | 83.0 | 88.7 | 32.7 | 22.13 | 62.2 | | H | √ | — | √ | √ | 91.3 | 83.3 | 89.0 | 32.9 | 21.33 | 56.4 | | I | — | √ | √ | √ | 91.5 | 83.7 | 89.3 | 32.9 | 21.65 | 51.8 | | J | √ | √ | √ | √ | 92.3 | 84.1 | 89.9 | 34.1 | 22.13 | 62.3 |
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