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DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
In this article, we propose to build up a collaboration between a deep neural network and a human in the loop to swiftly obtain accurate segmentation maps of remote sensing images. In a nutshell, the agent iteratively interacts with the network to correct its initially flawed predictions. Concretely...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2022-01-01
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| Colecção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9756343/ |
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