Learning a Discriminative Feature Network for Semantic Segmentation論文解讀
來自曠世face++的一篇新穎論文，從語義分割的原理上設計了模型，讀完對我理解語義分割有很大的幫助。 雖然很多人說深度學習的解釋性弱，但我其實不這麼看，通過ablation study和經驗積累，以及grad cam等工具，研究人員已經能預先看到每個模塊的作用。比如這篇DFN，就是很好的例子。 論文地址 背景 FCN-based 方法取得了很好的效果，但大部分基於此類的辦法沒能解決由類內不一致（i
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相關文章
- 1. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 2. Learning a Discriminative Feature Network for Semantic Segmentation
- 3. [論文閱讀]Learning a Discriminative Feature Network for Semantic Segmentation
- 4. 【論文學習記錄】Learning a Discriminative Feature Network for Semantic Segmentation
- 5. Learning a Discriminative Feature Network for Semantic Segmentation閱讀筆記
- 6. Learning a Discriminative Feature Network for Semantic Segmentation_CVPR2018
- 7. 語義分割--(DFN)Learning a Discriminative Feature Network for Semantic Segmentation
- 8. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
- 9. 【論文筆記】Learning Deconvolution Network for Semantic Segmentation
- 10. 論文筆記：Learning Deconvolution Network for Semantic Segmentation