Dynamic graph message passing networks
Modelling long-range dependencies is critical for scene understanding tasks in computer vision. Although CNNs have excelled in many vision tasks, they are still limited in capturing long-range structured relationships as they typically consist of layers of local kernels. A fully-connected graph is b...
| Main Authors: | , , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado: |
IEEE
2020
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