Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 9, 1199(2022)
A-LinkNet： semantic segmentation network based on attention and spatial information fusion
Figures & Tables(11)
Fig. 7. Segmentation results of different models on the Cityscapes validation set
Table 1. Comparative experiment of different dilation rate combinations
View tableView in ArticleTable 1. Comparative experiment of different dilation rate combinations
模型 骨干网络 ASPP结构 感受野 MIoU/% LinkNet Resnet18 - - 59.77 ［ 1 ，3 ，6 ］13 60.63 ［ 3 ，6 ，12 ］25 61.46 ［ 6 ，12 ，18 ］37 61.83 ［ 12 ，18 ，24］49 60.95
Table 2. Ablation experiment on the Cityscapes dataset
View tableView in ArticleTable 2. Ablation experiment on the Cityscapes dataset
模型 骨干网络 注意力机制 ASPP模块 GFLOPs 参数量/M MIoU/% LinkNet Resnet18 × × 20.66 11.54 59.77 √ × 21.17 11.64 62.04 × √ 22.78 15.80 61.83 √ √ 23.28 15.91 64.78
Table 3. Real-time performance comparison
View tableView in ArticleTable 3. Real-time performance comparison
模型 GFLOPs 参数量/M FPS MIoU/% FCN［ 3 ］136.2 - 1.43 58.61 ENet［ 6 ］3.8 0.4 40.88 61.79 SegNet［ 5 ］286 29.5 12.67 62.71 Ours 23.28 15.91 26.29 64.78
Table 4. Comparative of MIoU values between the method in this paper and others on the Cityscapes validation set
View tableView in ArticleTable 4. Comparative of MIoU values between the method in this paper and others on the Cityscapes validation set
类别 FCN［ 3 ］ENet［ 6 ］SegNet［ 5 ］Ours Road 95.62 95.47 95.61 96.54 Sidewalk 75.77 77.21 76.09 75.23 Building 87.54 88.32 91.49 88.85 Wall 43.31 44.17 43.93 44.69 Fence 39.58 42.01 40.37 47.55 Pole 41.99 41.58 44.41 42.73 Traffic Light 31.05 33.47 35.04 46.57 Traffic Sign 48.14 56.55 52.09 62.67 Vegetation 88.48 84.89 85.88 89.09 Terrain 51.02 52.08 51.69 50.41 Sky 87.57 89.93 91.09 91.97 Person 56.95 64.54 66.80 67.07 Rider 43.39 41.19 40.26 42.53 Car 87.53 91.83 92.91 93.71 Truck 41.84 56.87 66.95 56.69 Bus 59.57 63.36 66.12 75.93 Train 40.61 45.06 50.35 54.02 Motorcycle 32.27 35.21 36.79 39.68 Bicycle 64.47 66.22 63.5 65.84 MIoU 58.61 61.79 62.71 64.78
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Min-min DU, Hai-feng SIMA. A-LinkNet： semantic segmentation network based on attention and spatial information fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(9): 1199
Paper Information
Category: Research Articles
Received: Feb. 5, 2022
Accepted: --
Published Online: Sep. 14, 2022
The Author Email: Hai-feng SIMA (smhf@hpu.edu.cn)
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