《Deep Active Learning for Axon-Myelin Segmentation on Histology Data》--閱讀筆記-Arxiv

時間 2021-01-02

標籤 active learning MCDropout 简体版

原文原文鏈接

Active learning的核心是選擇most informative的sample，這個策略是有創新型的（https://github.com/neuropoly/deep-active-learning） Authors M´elanie Lubrano di Scandalea, Christian S. Perone, Mathieu Boudreau, Julien Cohen

>>阅读原文<<

1. 《A sparse annotation strategy based on attention-guided active learning for 3D medic》--閱讀筆記-Arxiv
2. 閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
3. Deep Watershed Transform for Instance Segmentation閱讀筆記
4. A Review on Deep Learning Techniques Applied to Semantic Segmentation 閱讀筆記
5. 論文閱讀筆記《Deep Active Learning for Civil Infrastructure Defect Detection and Classification》
6. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》
7. 【論文閱讀筆記】PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
8. 論文閱讀：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
9. Deep Residual Learning for Image Recognition閱讀筆記
10. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
更多相關文章...
• RSS 閱讀器 - RSS 教程
• PHP 實例 - AJAX RSS 閱讀器 - PHP教程
• Tomcat學習筆記（史上最全tomcat學習筆記）
• JDK13 GA發佈：5大特性解讀

相關標籤/搜索

每日一句

每一个你不满意的现在，都有一个你没有努力的曾经。

最新文章

1. 1.2 Illustrator多文檔的幾種排列方式
2. 5.16--java數據類型轉換及雜記
3. 性能指標
4. （1.2）工廠模式之工廠方法模式
5. Java記錄 -42- Java Collection
6. Java記錄 -42- Java Collection
7. github使用
8. Android學習筆記（五十）：聲明、請求和檢查許可
9. 20180626
10. 服務擴容可能引入的負面問題及解決方法

本站公眾號

歡迎關注本站公眾號,獲取更多信息

1. 《A sparse annotation strategy based on attention-guided active learning for 3D medic》--閱讀筆記-Arxiv
2. 閱讀論文：Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
3. Deep Watershed Transform for Instance Segmentation閱讀筆記
4. A Review on Deep Learning Techniques Applied to Semantic Segmentation 閱讀筆記
5. 論文閱讀筆記《Deep Active Learning for Civil Infrastructure Defect Detection and Classification》
6. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》
7. 【論文閱讀筆記】PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
8. 論文閱讀：PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
9. Deep Residual Learning for Image Recognition閱讀筆記
10. Deep Reinforcement Learning for Dialogue Generation閱讀筆記

>>更多相關文章<<