语义分割--RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation CVPR2017 https://github.com/guosheng/refinenet 本文还是使用 cascaded 思想来做语义分割！但是引入了 residual connections with identity map
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相关文章
- 1. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
- 2. 图像分割“RefineNet-Multi-Path Refinement Networks for High-Resolution Semantic Segmentation”
- 3. 语义分割--Global Deconvolutional Networks for Semantic Segmentation
- 4. 【图像分割论文阅读】RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
- 5. 语义分割--Efficient and Robust Deep Networks for Semantic Segmentation
- 6. 论文阅读：RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
- 7. 论文笔记_2017-CVPR-RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
- 8. 论文阅读：《RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation》
- 9. RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation解读
- 10. 语义分割--Label Refinement Network for Coarse-to-Fine Semantic Segmentation