Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 12, 1598(2022)
High resolution scene parsing network based on semantic segmentation
Fig. 2. Schematic diagram of residual block before and after improvement
Fig. 4. Fusion method for semantic segmentation in high resolution networks
Fig. 5. Pyramid pooling module structure in pyramid scene parsing network
Fig. 6. Structure diagram of high resolution scene parsing network
Table 1. Influence of using separable convolution on the number of parameters and MIOU
View tableView in ArticleTable 1. Influence of using separable convolution on the number of parameters and MIOU
Net Param/Mbit MIOU/% HRNetV2 65.9 81.1 HRNetV2（常规深度可分离卷积） 16.4 79.9 HRNetV2（rate=2空洞可分离卷积） 16.4 80.2 HRNetV2（三级空洞率的HDC方式） 16.4 81.3
Table 2. Influence of pyramid pooling module on accuracy and MIOU
View tableView in ArticleTable 2. Influence of pyramid pooling module on accuracy and MIOU
Net Pix Acc/% MIOU/% HRNetV2-3 88.47 81.3 HRNetV2-3-MAX32 89.40 82.46 HRNetV2-3-AVE32 89.79 82.72 HRNetV2-3-MAX8 89.49 82.55 HRNetV2-3-AVE8 89.87 82.95
Table 3. Influence of level by level feature fusion method
View tableView in ArticleTable 3. Influence of level by level feature fusion method
Net Pix Acc/% MIOU/% HRNetV2-3-AVE8 89.87 82.95 HRNetV2-3-AVE8-F 90.35 83.30
Table 4. Number of parameters and the MIOU of different models
View tableView in ArticleTable 4. Number of parameters and the MIOU of different models
Net Backbone Param/Mbit MIOU/% UNet++ ResNet-101 59.5 75.5% DeepLabv3 Dilated-ResNet-101 58.0 78.5% DeepLabv3+ Dilated-Xception-71 43.5 79.6% PSPNet Dilated-ResNet-101 65.9 79.7% HRNetV2-w48 HRNetV2 65.9 81.1% HRSPNet HRNetV2-w48 16.4 83.3%
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Jian-feng SHI, Ning XANG, A-chuan WANG. High resolution scene parsing network based on semantic segmentation[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(12): 1598
Category: Research Articles
Received: May. 19, 2022
Accepted: --
Published Online: Nov. 30, 2022
The Author Email: A-chuan WANG (wangca1964@126.com)
