基于双重特征融合的复杂环境下滑坡检测方法
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方留杨, 杨昌浩, 舒东, 杨学昆, 陈兴通, 贾志文
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Landslide detection in complex environments based on dual feature fusion
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FANG Liuyang, YANG Changhao, SHU Dong, YANG Xuekun, CHEN Xingtong, JIA Zhiwen
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表4 不同模型实验结果
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Tab.4 Experimental results of different models (%)
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| 序号 | 方法 | 主干网络 | 边界框精度 | 分割精度 | | AP | AP50 | AP75 | AP | AP50 | AP75 | | 实验7 | DLDNet | ConvNeXt-T+改进CBAM+DFPN | 56.9 | 91.9 | 65.2 | 52.5 | 91.1 | 56.8 | | 实验8 | Faster R-CNN | ResNet101+FPN | 46.8 | 85.8 | 49.1 | — | — | — | | 实验9 | Dynamic R-CNN | ResNet101+FPN | 50.3 | 88.6 | 55.5 | — | — | — | | 实验10 | Cascade Mask R-CNN | ResNet101+FPN | 50.0 | 86.5 | 55.1 | 44.5 | 83.0 | 45.2 | | 实验11 | RTMDet | CSPNeXt-T+PAFPN | 56.8 | 91.8 | 64.0 | 51.2 | 89.0 | 54.6 |
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