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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...

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書目詳細資料
發表在:Sensors (Basel)
Main Authors: Ou, Jia-Rong, Deng, Shu-Le, Yu, Jin-Gang
格式: Artigo
語言:Inglês
出版: MDPI 2021
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC8156195/
https://ncbi.nlm.nih.gov/pubmed/34067559
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21103475
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