【论文学习记录】Large Kernel Matters-Improve Semantic Segmentation by Global Convolutional Network
这篇文章是收录在CVPR 2017上的文章，作者来自清华大学和旷视科技。论文原文《Large Kernel Matters-Improve Semantic Segmentation by Global Convolutional Network》。 语义分割可以看成是一个逐像素的分类任务，同时包含分类和定位。对于分类任务，模型必须是具有不变性的，但是对于定位任务，模型应该是对变换敏感的。 为应对
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- 3. Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network------论文理解
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相关文章
- 1. Large Kernel Matters ——Improve Semantic Segmentation by Global Convolutional Network论文笔记
- 2. Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network论文阅读
- 3. Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network------论文理解
- 4. 语义分割--Large Kernel Matters--Improve Semantic Segmentation by Global Convolutional Network
- 5. PaperReading4-Large Kernel Matters—— Improve Semantic Segmentation by Global Convolutional Network
- 6. 语义分割之Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 7. 图像分割：GCN: Large Kernel Matters —— Improve Semantic Segmentation by Global Convolutional Network
- 8. Semantic Segmentation---GCN:Large Kernel Matters---Improve Semantic Segmantic by Global ...（论文解读四）
- 9. 【图像语义分割】Large Kernel Maters--Improved Semantic Segmentation by Global ConvNet
- 10. GCN_large kernel matters_improving semantic seg by global conv network