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 3 不同轻量级主干网络的对比结果 |
| Tab.3 Comparison result of different lightweight backbone network |
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| 模型 | 方法 | P/% | R/% | mAP@0.5/% | ${N_{\text{P}}}$/106 | $v$/(帧⋅s−1) | FLOPs/109 | | RT-DETR | ResNet-18(原算法) | 89.0 | 87.4 | 91.1 | 19.9 | 67.2 | 57.0 | | RT-DETR | FasterNet | 89.7 | 87.4 | 91.0 | 10.9 | 66.3 | 28.5 | | RT-DETR | EfficientViT | 88.9 | 87.5 | 90.8 | 10.7 | 43.5 | 27.2 | | RT-DETR | RepViT | 89.8 | 87.1 | 91.2 | 13.3 | 57.6 | 36.3 | | RT-DETR | MobileNetV4 | 89.7 | 87.8 | 91.7 | 11.3 | 70.7 | 39.5 | | RT-DETR | StarNet | 90.3 | 88.4 | 92.2 | 12.0 | 72.2 | 31.8 |
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