井下轨道区域高精度实时分割网络
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周华平,邓彬,孙克雷,张咏琪,吴涛,吴劲
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High-precision real-time segmentation network for underground track areas
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Huaping ZHOU,Bin DENG,Kelei SUN,Yongqi ZHANG,Tao WU,Jin WU
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| 表 2 不同模型在矿井轨道分割数据集上的性能参数对比 |
| Tab.2 Performance metrics comparison of various models on mine-track segmentation dataset |
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| 模型 | 骨干名称 | np/106 | mIoU/% | FPS(帧·s−1) | | Fast-SCNN[9] | — | 1.44 | 81.75 | 21.7 | | DFANet[10] | — | 7.80 | 84.50 | 23.2 | | ESPNet[11] | ESP | 2.75 | 80.51 | 29.6 | | BiSeNetv1[12] | ResNet18 | 4.90 | 86.21 | 31.3 | | STDC[13] | STDC1 | 8.29 | 88.18 | 19.2 | | SFNet[14] | ResNet18 | 13.81 | 87.33 | 15.2 | | PP-LiteSeg-B[15] | STDC2 | 12.25 | 90.34 | 17.1 | | RTFormer-Base[16] | — | 16.87 | 91.71 | 17.3 | | YOLOv10n[17] | CSPNet | 5.70 | 86.60 | 44.4 | | U-Net[18] | Vgg | 24.89 | 78.89 | — | | PSPNet[19] | ResNet50 | 46.71 | 83.46 | — | | HRNet[20] | HRNet_W32 | 29.54 | 89.29 | — | | DeeplabV3+[21] | Xception | 54.71 | 93.95 | — | | SegFormer-B2[22] | MiT-B2 | 27.35 | 84.20 | — | | HPRTSNet | MobileNetV2 | 9.88 | 92.44 | 23.5 |
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