論文筆記（八）：Object Instance Mining forWeakly Supervised Object Detection
文章目錄 論文筆記（八）：Object Instance Mining forWeakly Supervised Object Detection Problem Finding 訓練集中的樣本沒有被充分挖掘 陷入局部最優問題 Contribution 整體框架 Object Instance Mining(OIM) 實例權重重新調整損失 Experiment 論文筆記（八）：Object Ins
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相關文章
- 1. Object Instance Mining for Weakly Supervised Object Detection 論文筆記
- 2. 論文解讀：Object Instance Mining for Weakly Supervised Object Detection（AAAI 2020）
- 3. 論文筆記（五） C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
- 4. 論文筆記——Camouflaged Object Detection
- 5. Object Region Mining with Adversarial Erasing論文筆記
- 6. Object Detection[論文合集]
- 7. 【論文筆記 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
- 8. Focal Loss for Dense Object Detection論文筆記
- 9. [論文筆記]Focal Loss for Dense Object Detection
- 10. 論文閱讀筆記 | (IJCAI 2018 Oral) Collaborative Learning for Weakly Supervised Object Detection