Learning a Discriminative Feature Network for Semantic Segmentation论文解读
来自旷世face++的一篇新颖论文，从语义分割的原理上设计了模型，读完对我理解语义分割有很大的帮助。 虽然很多人说深度学习的解释性弱，但我其实不这么看，通过ablation study和经验积累，以及grad cam等工具，研究人员已经能预先看到每个模块的作用。比如这篇DFN，就是很好的例子。 论文地址 背景 FCN-based 方法取得了很好的效果，但大部分基于此类的办法没能解决由类内不一致（i
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相关文章
- 1. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 2. Learning a Discriminative Feature Network for Semantic Segmentation
- 3. [论文阅读]Learning a Discriminative Feature Network for Semantic Segmentation
- 4. 【论文学习记录】Learning a Discriminative Feature Network for Semantic Segmentation
- 5. Learning a Discriminative Feature Network for Semantic Segmentation阅读笔记
- 6. Learning a Discriminative Feature Network for Semantic Segmentation_CVPR2018
- 7. 语义分割--(DFN)Learning a Discriminative Feature Network for Semantic Segmentation
- 8. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation
- 9. 【论文笔记】Learning Deconvolution Network for Semantic Segmentation
- 10. 论文笔记：Learning Deconvolution Network for Semantic Segmentation