The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation_2016

时间 2021-01-11

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作者：Simon Jégou Michal Drozdzal David Vazquez .. Abstract 典型的语义分割架构由（a）一条下采样路径，负责提取粗的语义特征，再加一个（b）一条上采样路径，负责回复图像分辨率，（c）和一个可选的后处理模块（比如，条件随机场）来精调模型预测。最近一个新的架构DenseNets，主意来源于：如果每层直接连接其他层，就像前馈机制一样，网络会变得更精确

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1. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
2. 图像分割“The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation”
3. 【图像分割论文阅读】The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
4. The One Hundred Layers Tiramisu：Fully Convolutional DenseNets for Semantic Segmentation手动翻译
5. 语义分割--Fully Convolutional DenseNets for Semantic Segmentation
6. Fully Convolutional Adaptation Networks for Semantic Segmentation
7. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation_2
8. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
9. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
10. FCN—— Fully Convolutional Networks for Semantic Segmentation
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1. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
2. 图像分割“The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation”
3. 【图像分割论文阅读】The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
4. The One Hundred Layers Tiramisu：Fully Convolutional DenseNets for Semantic Segmentation手动翻译
5. 语义分割--Fully Convolutional DenseNets for Semantic Segmentation
6. Fully Convolutional Adaptation Networks for Semantic Segmentation
7. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation_2
8. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
9. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
10. FCN—— Fully Convolutional Networks for Semantic Segmentation

>>更多相关文章<<