Lightweight Convolutional Neural Networks with Model-Switching Architecture for Multi-Scenario Road Semantic Segmentation
A convolutional neural network (CNN) that was trained using datasets for multiple scenarios was proposed to facilitate real-time road semantic segmentation for various scenarios encountered in autonomous driving. However, the CNN inhibited the mutual suppression effect between weights; thus, it did...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2021-08-01
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| Saila: | Applied Sciences |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2076-3417/11/16/7424 |
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