《DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation》翻译（上）

时间 2020-12-30

标签 DFANet 翻译繁體版

原文原文链接

Abstract This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints. Our proposed network starts from a single lightweight backbone

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1. Semantic Segmentation---DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation（论文解读十）
2. 语义分割经典论文翻译1：DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(DFANet翻译)
3. Fully Convolutional Networks for Semantic Segmentation 全文翻译
4. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
5. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
6. R-CNN论文翻译Rich feature hierarchies for accurate object detection and semantic segmentation
7. Fully Convolutional Networks for Semantic Segmentation论文翻译
8. Fully Convolutional Networks for Semantic Segmentation 翻译
9. DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation[Arxiv]
10. Review of Semantic Segmentation with Deep Learning
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1. Semantic Segmentation---DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation（论文解读十）
2. 语义分割经典论文翻译1：DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(DFANet翻译)
3. Fully Convolutional Networks for Semantic Segmentation 全文翻译
4. 【论文翻译】Fully Convolutional Networks for Semantic Segmentation
5. 【论文翻译】Fully Convolutional Networks for semantic Segmentation
6. R-CNN论文翻译Rich feature hierarchies for accurate object detection and semantic segmentation
7. Fully Convolutional Networks for Semantic Segmentation论文翻译
8. Fully Convolutional Networks for Semantic Segmentation 翻译
9. DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation[Arxiv]
10. Review of Semantic Segmentation with Deep Learning

>>更多相关文章<<