WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation

Weakly supervised instance segmentation (WSIS) provides a promising way to address instance segmentation in the absence of sufficient labeled data for training. Previous attempts on WSIS usually follow a proposal-based paradigm, critical to which is the proposal scoring strategy. These works mostly...

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Detalles Bibliográficos
Autores principales: Ou, Jia-Rong, Deng, Shu-Le, Yu, Jin-Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156195/
https://www.ncbi.nlm.nih.gov/pubmed/34067559
http://dx.doi.org/10.3390/s21103475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156195/
https://www.ncbi.nlm.nih.gov/pubmed/34067559
http://dx.doi.org/10.3390/s21103475

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