論文閱讀Soft Proposal Networks for weekly-supervised object localization
論文：Soft Proposal Networks for Weakly Supervised Object Localization 1.摘要 弱監督的目標檢測相對較爲困難，因爲只有image labels可以提供，在訓練的過程中沒有bounding boxes，本文是第一次將弱監督Object proposals集成在一個end-to-end的CNN裏，文中定義了一個Soft proposal
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相關文章
- 1. 論文閱讀-《Relation Networks for Object Detection》
- 2. 論文閱讀：Deep Neural Networks for Object Detection
- 3. [論文閱讀]Faster R-CNN：Towards Real-Time Object Detection with Region Proposal Networks
- 4. 論文閱讀-《Learning Deep Features for Discriminative Localization》
- 5. 論文閱讀筆記——Acquisition of Localization Confidence for Accurate Object Detection
- 6. CPNDet:Corner Proposal Network for Anchor-free, Two-stage Object Detection(論文閱讀)
- 7. 論文閱讀：A New Target-specific Object Proposal Generation Method for Visual Tracking
- 8. 論文閱讀: Soft-NMS
- 9. 論文閱讀：Bag of Freebies for Training Object Detection Neural Networks
- 10. （FPN）Feature Pyramid Networks for Object Detection論文閱讀筆記