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
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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
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- 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