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. 升級Gradle後報錯Gradle‘s dependency cache may be corrupt (this sometimes occurs
- 2. Smarter, Not Harder
- 3. mac-2019-react-native 本地環境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
- 4. 查看文件中關鍵字前後幾行的內容
- 5. XXE萌新進階全攻略
- 6. Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
- 7. zabbix5.0通過agent監控winserve12
- 8. IT行業UI前景、潛力如何？
- 9. Mac Swig 3.0.12 安裝
- 10. Windows上FreeRDP-WebConnect是一個開源HTML5代理，它提供對使用RDP的任何Windows服務器和工作站的Web訪問
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