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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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| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2021
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| 主題: | |
| 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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