Semantic Image Segmentation Based on Superpixel-Pooling DCNN With Random Walks on Graph and Application to Intrusion Detection of Railway
Deep convolutional neural networks(DCNN) has recently significantly pushed the state of the art of semantic image segmentation. However, as the network depth increases, the progressively lower resolution leads to a loss of feature information and a large number of segmentation errors near the image...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10602510/ |