PaperReading4-Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network
今天我給大家介紹的是一篇face++的關於改進卷積的分割網絡。由於時間關係大概講下論文思路。 首先，論文分析了 Semantic Segmentation這個任務： 1基礎知識：（1）大卷積效果比小卷積好，因爲大卷積可以接收的感受野大，對於物體語義可以進行更好的判斷（classification），但是大卷積損失了細節信息多點，而且參數也多； （2）堆積小卷積可以達到大卷積的效果，實現大的感受野，
相關文章
- 1. 語義分割--Large Kernel Matters--Improve Semantic Segmentation by Global Convolutional Network
- 2. Large Kernel Matters ——Improve Semantic Segmentation by Global Convolutional Network論文筆記
- 3. 【論文學習記錄】Large Kernel Matters-Improve Semantic Segmentation by Global Convolutional Network
- 4. 語義分割之Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 5. Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network論文閱讀
- 6. 圖像分割：GCN: Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 7. Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network------論文理解
- 8. Semantic Segmentation---GCN:Large Kernel Matters---Improve Semantic Segmantic by Global ...（論文解讀四）
- 9. GCN_large kernel matters_improving semantic seg by global conv network
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相關文章
- 1. 語義分割--Large Kernel Matters--Improve Semantic Segmentation by Global Convolutional Network
- 2. Large Kernel Matters ——Improve Semantic Segmentation by Global Convolutional Network論文筆記
- 3. 【論文學習記錄】Large Kernel Matters-Improve Semantic Segmentation by Global Convolutional Network
- 4. 語義分割之Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 5. Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network論文閱讀
- 6. 圖像分割：GCN: Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 7. Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network------論文理解
- 8. Semantic Segmentation---GCN:Large Kernel Matters---Improve Semantic Segmantic by Global ...（論文解讀四）
- 9. GCN_large kernel matters_improving semantic seg by global conv network
- 10. Large Kernel Matters