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...

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Detalles Bibliográficos
Autores principales: Li, Guoqing, Zhang, Guoping, Qin, Chanchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472885/
https://www.ncbi.nlm.nih.gov/pubmed/34577306
http://dx.doi.org/10.3390/s21186100

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