极简笔记 Weakly Supervised Instance Segmentation using Class Peak Response
极简笔记 Weakly Supervised Instance Segmentation using Class Peak Response 本文是一篇弱监督的工作，利用分类网络做实例分割任务。主要思路是利用网络输出的响应图，取局部极大值之后反向计算（这个过程中分辨率也在变大），得到与这个局部极大值相关的区域信息，再结合类别信息等，从利用传统算法求出的segmentation mask里面进行打分
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相关文章
- 1. Weakly Supervised Instance Segmentation using Class Peak Response阅读笔记
- 2. 极简笔记 多篇weakly supervised segmentation笔记
- 3. 极简笔记 Instance Segmentation Survey
- 4. 【论文笔记】Simple Does It: Weakly Supervised Instance and Semantic Segmentation
- 5. 极简笔记 Path Aggregation Network for Instance Segmentation
- 6. 《Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation》笔记
- 7. [CVPR2017] Weakly Supervised Cascaded Convolutional Networks论文笔记
- 8. 弱监督语义分割--Weakly Supervised Semantic Segmentation using Web-Crawled Videos
- 9. 【论文笔记】Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing
- 10. 《Constrained Convolutional Neural Networks for Weakly Supervised Segmentation》翻译