论文阅读：Fully Convolutional Instance-aware Semantic Segmentation
作者第一个提出了针对Instance-aware Semantic Segmentation的fully convolutional end-to-end solution 。 针对为什么FCN不能用来做detection，作者解答： 卷积具有平移不变性，同样的像素在不同的位置有相同的响应。但是instence semantic segmentation考虑region level，相同的像素在不
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相关文章
- 1. 《Fully Convolutional Networks for Semantic Segmentation》论文阅读
- 2. 论文阅读：Fully Convolutional Networks for Semantic Segmentation
- 3. Fully Convolutional Networks for Semantic Segmentation 论文解读
- 4. Fully Convolutional Instance-aware Semantic Segmentation论文解读
- 5. 全卷积（FCN）论文阅读笔记：Fully Convolutional Networks for Semantic Segmentation
- 6. 【论文阅读】semantic image segmentation with deep convolutional nets and fully connected CRFs
- 7. 论文阅读：《Fully Convolutional Networks for Semantic Segmentation》CVPR 2015
- 8. 论文阅读理解 - Fully Convolutional Instance-aware Semantic Segmentation
- 9. 论文阅读笔记：Fully Convolutional Networks for Semantic Segmentation
- 10. 论文阅读：FCIS：Fully Convolutional Instance-aware Semantic Segmentation