Fine-tuning Convolitional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
本篇論文發表於CVPR2017，作者爲美國亞利桑那州立大學着的在讀博士生周縱葦。它主要解決的仍然是生物醫學圖像在用於深度學習時數據量過少的問題：如何使用盡可能少的標籤數據來訓練一個效果promising的分類器。作者提出了一個AIFT (active,incremental fine-tuning)網絡，能夠節約標註的時間和成本，把主動學習和遷移學習集成到一個框架。AIFT算法開始是直接使用一個預
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相關文章
- 1. Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally如...
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