DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation[Arxiv]
论文链接 \qquad 这篇文章中作者提出了一个支持动态特征聚合的网络DAR-Net。DAR-Net的核心思想是生成一个自适应的pooling skeleton，这个结构既考虑了场景的复杂结构也结合了局部几何特征。skeleton提供可变的半局部感受野和权重，成为了连接局部卷积特征提取器和全局循环特征聚合器的桥梁。 \qquad skeleton如上图所示，我的理解所谓skeleton就是一些能够
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相关文章
- 1. Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring笔记
- 2. Dual attention network for scene segmentation
- 3. OCNet_Object Context Network for Scene parsing
- 4. Semantic Flow for Fast and Accurate Scene Parsing
- 5. [论文阅读]BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
- 6. Semantic Segmentation---DANet:Dual Attention Network for Scene Segmentation（论文解读九）
- 7. 《Learning Dynamic Routing for Semantic Segmentation》
- 8. 【PSPNet】Pyramid Scene Parsing Network
- 9. Dual Attention Network for Scene Segmentation
- 10. ACNet_ Adaptive Context Network for Scene Parsing