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Automatic Inside Point Localization with Deep Reinforcement Learning for Interactive Object Segmentation
In the task of interactive image segmentation, the Inside-Outside Guidance (IOG) algorithm has demonstrated superior segmentation performance leveraging Inside-Outside Guidance information. Nevertheless, we observe that the inconsistent input between training and testing when selecting the inside po...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472885/ https://www.ncbi.nlm.nih.gov/pubmed/34577306 http://dx.doi.org/10.3390/s21186100 |