轻量级改进RT-DETR的葡萄叶片病害检测算法
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刘慧,王防修,王意,黄淄博,苏晨
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Lightweight improved RT-DETR algorithm for grape leaf disease detection
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Hui LIU,Fangxiu WANG,Yi WANG,Zibo HUANG,Chen SU
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| 表 2 消融实验的对比结果 |
| Tab.2 Comparison result of ablation experiment |
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| StarNet | CGSFR-FPN | Inner-PowerIoU v2 | P/% | R/% | mAP@0.5/% | ${N_{\text{P}}}$/106 | FLOPs/109 | | — | — | — | 89.0 | 87.4 | 91.1 | 19.9 | 57.0 | | √ | — | — | 90.3 | 88.4 | 92.2 | 12.0 | 31.8 | | — | √ | — | 90.6 | 88.9 | 92.4 | 19.2 | 48.2 | | — | — | √ | 90.3 | 88.4 | 91.8 | 19.9 | 57.0 | | √ | √ | — | 90.7 | 89.5 | 92.7 | 10.7 | 20.5 | | √ | — | √ | 90.9 | 89.0 | 92.7 | 12.0 | 31.8 | | — | √ | √ | 89.9 | 88.6 | 91.8 | 19.2 | 48.2 | | √ | √ | √ | 91.6 | 89.8 | 93.4 | 10.7 | 20.5 |
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