论文笔记（八）：Object Instance Mining forWeakly Supervised Object Detection
文章目录 论文笔记（八）：Object Instance Mining forWeakly Supervised Object Detection Problem Finding 训练集中的样本没有被充分挖掘 陷入局部最优问题 Contribution 整体框架 Object Instance Mining(OIM) 实例权重重新调整损失 Experiment 论文笔记（八）：Object Ins
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相关文章
- 1. Object Instance Mining for Weakly Supervised Object Detection 论文笔记
- 2. 论文解读：Object Instance Mining for Weakly Supervised Object Detection（AAAI 2020）
- 3. 论文笔记（五） C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
- 4. 论文笔记——Camouflaged Object Detection
- 5. Object Region Mining with Adversarial Erasing论文笔记
- 6. Object Detection[论文合集]
- 7. 【论文笔记 Detection】OHEM: Training Region-based Object Detectors with Online Hard Example Mining
- 8. Focal Loss for Dense Object Detection论文笔记
- 9. [论文笔记]Focal Loss for Dense Object Detection
- 10. 论文阅读笔记 | (IJCAI 2018 Oral) Collaborative Learning for Weakly Supervised Object Detection