Dual graph convolutional network for semantic segmentation
Exploiting long-range contextual information is key for pixel-wise prediction tasks such as semantic segmentation. In contrast to previous work that uses multi-scale feature fusion or dilated convolutions, we propose a novel graph-convolutional network (GCN) to address this problem. Our Dual Graph C...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
British Machine Vision Association
2019
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