结合上下文与类别感知特征融合的高分遥感图像语义分割
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何晓军, 罗杰
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Semantic segmentation of high-resolution remote sensing images based on context- and class-aware feature fusion
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HE Xiaojun, LUO Jie
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表5 Vaihingen数据集IoU得分
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Tab.5 IoU scores on the Vaihingen dataset (%)
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模型 | IoU | mIoU | 不透水 表面 | 建筑物 | 低矮 植被 | 树木 | 汽车 | UNet | 78.74 | 83.24 | 64.12 | 73.33 | 53.24 | 70.53 | PSPNet | 71.55 | 77.94 | 58.38 | 67.36 | 28.66 | 60.77 | DeepLabv3+ | 76.18 | 81.13 | 62.24 | 71.88 | 43.58 | 67.00 | HRNet | 77.47 | 81.16 | 64.68 | 73.08 | 46.11 | 68.50 | A2FPN | 79.07 | 84.70 | 65.73 | 74.42 | 56.70 | 72.12 | BuildFormer | 79.17 | 83.68 | 65.84 | 73.90 | 51.04 | 70.72 | CCFFSM | 79.70 | 86.74 | 68.31 | 75.54 | 53.44 | 72.75 |
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