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Deep graph cut network for weakly-supervised semantic segmentation
The scarcity of fully-annotated data becomes the biggest obstacle that prevents many deep learning approaches from widely applied. Weakly-supervised visual learning which can utilize inexact annotations is developed rapidly to remedy such a situation. In this paper, we study the weakly-supervised ta...
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| 出版年: | Sci. China Inf. Sci. |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Science China Press
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7881314/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11432-020-3065-4 |
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