Learning to segment from misaligned and partial labels理解
文章主要解決標註的兩個問題： （1）標註和RGB影像沒有對齊，主要是平移偏差 （2）標註缺失 爲了解決問題1，需要少量的RGB影像和精細標註FineLabel。首先對fineLabel做平移自變換，得到misaligned label，基座y.然後將RGB image和misaligned label輸入網絡中訓練，去預測FineLabel. 對於問題2（影像只有部分標註），輸入多個點組成的圖
相關文章
- 1. Learning to Segment Object Candidates
- 2. 《Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning》
- 3. 分割向：Learning to segment everything
- 4. Learning a Deep ConvNet for Multi-label Classification with Partial Labels 論文筆記
- 5. Machine learning and Classifier from Wiki
- 6. Learning to Segment Every Thing筆記
- 7. Transfer Learning from Partial Annotations for Whole Brain Segmentation
- 8. 【multi-label】Learning a Deep ConvNet for Multi-label Classification with Partial Labels
- 9. Learning to Segment Every Thing算法筆記
- 10. Seven-segment Display from codejam
- 更多相關文章...
- • SQLite AND/OR 運算符 - SQLite教程
- • SQL AND & OR 運算符 - SQL 教程
- • RxJava操作符（七）Conditional and Boolean
- • Docker 清理命令
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. 安裝cuda+cuDNN
- 2. GitHub的使用說明
- 3. phpDocumentor使用教程【安裝PHPDocumentor】
- 4. yarn run build報錯Component is not found in path 「npm/taro-ui/dist/weapp/components/rate/index「
- 5. 精講Haproxy搭建Web集羣
- 6. 安全測試基礎之MySQL
- 7. C/C++編程筆記：C語言中的複雜聲明分析，用實例帶你完全讀懂
- 8. Python3教程(1)----搭建Python環境
- 9. 李宏毅機器學習課程筆記2：Classification、Logistic Regression、Brief Introduction of Deep Learning
- 10. 阿里雲ECS配置速記
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Learning to Segment Object Candidates
- 2. 《Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning》
- 3. 分割向：Learning to segment everything
- 4. Learning a Deep ConvNet for Multi-label Classification with Partial Labels 論文筆記
- 5. Machine learning and Classifier from Wiki
- 6. Learning to Segment Every Thing筆記
- 7. Transfer Learning from Partial Annotations for Whole Brain Segmentation
- 8. 【multi-label】Learning a Deep ConvNet for Multi-label Classification with Partial Labels
- 9. Learning to Segment Every Thing算法筆記
- 10. Seven-segment Display from codejam