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