联合正交特征融合与大核可分离注意力的道路分割算法
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汤毅杰,钟铭恩,袁彬淦,范康,谭佳威,林志强
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Road segmentation algorithm based on joint orthogonal feature fusion and large kernel separable attention
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Yijie TANG,Mingen ZHONG,Bingan YUAN,Kang FAN,Jiawei TAN,Zhiqiang LIN
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| 表 2 消融实验结果 |
| Tab.2 Ablation experiment results |
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| 方法 | +OFFM | +C2f-CGA | +LSKASPM | Massachusetts数据集 | | DeepGlobe数据集 | 参数量/106 | FLOPs/109 | | P/% | R/% | IoU/% | APLS/% | | P/% | R/% | IoU/% | APLS/% | | 基准模型 | × | × | × | 77.32 | 72.26 | 59.71 | 71.29 | | 73.82 | 72.76 | 60.96 | 71.33 | 28.1 | 24.3 | | a | √ | × | × | 78.37 | 74.45 | 61.83 | 72.02 | | 75.87 | 74.22 | 63.52 | 72.42 | 29.7 | 24.8 | | b | × | √ | × | 78.15 | 73.42 | 62.35 | 74.08 | | 75.79 | 73.38 | 63.96 | 74.67 | 34.8 | 27.6 | | c | × | × | √ | 78.51 | 73.22 | 62.30 | 72.53 | | 79.55 | 73.16 | 63.68 | 72.74 | 28.9 | 24.7 | | d | √ | √ | × | 78.50 | 78.32 | 64.01 | 74.31 | | 77.96 | 78.55 | 66.74 | 74.98 | 36.6 | 28.5 | | e | √ | × | √ | 78.59 | 78.27 | 63.88 | 73.77 | | 80.02 | 79.36 | 66.92 | 74.19 | 31.2 | 26.5 | | f | × | √ | √ | 78.56 | 77.45 | 64.82 | 74.61 | | 79.99 | 78.07 | 67.96 | 75.38 | 36.3 | 28.4 | | g | √ | √ | √ | 78.65 | 79.98 | 65.12 | 75.36 | | 80.21 | 81.98 | 68.41 | 75.93 | 37.3 | 29.2 |
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