Longfei Wang, Chunman Yan. Review on Semantic Segmentation of Road Scenes[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1200002
- Laser & Optoelectronics Progress
- Vol. 58, Issue 12, 1200002 (2021)
Fig. 1. Development history of image semantic segmentation
![Structural diagram of fully convolutional network[24]](/richHtml/lop/2021/58/12/1200002/img_2.jpg)
Fig. 2. Structural diagram of fully convolutional network[24]
Fig. 3. Semantic segmentation method based on strong supervision
Fig. 4. Schematic of expansion convolution[25]. (a) Ordinary convolution; (b) expansion convolution with expansion rate of 2; (c) expansion convolution with expansion rate of 4
Fig. 5. Structural diagram of SegNet network[52]
Fig. 6. Semantic segmentation method based on weak supervision and unsupervision
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Table 1. Advantage and disadvantage comparison among strongly supervised, weakly supervised and unsupervised semantic segmentation methods
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Table 2. Common automatic driving datasets
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Table 3. Common traffic sign datasets
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Table 4. Analysis and summary of traditional image semantic segmentation methods[9]
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Table 5. Analysis and summary of image semantic segmentation method based on strong supervision
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Table 6. Speed analysis of algorithms[5]
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Table 7. Analysis and summary of image semantic segmentation method based on weak supervision[5]
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Table 8. Analysis and summary of image semantic segmentation method based on unsupervision[9]
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