Adaptive feature recombination and recalibration for semantic segmentation with fully convolutional networks
Fully convolutional networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting several voxels in a single forward pass. So, there is a direct spatial correspondence between a unit in a feature map a...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/71257 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/71257 |