DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation[Arxiv]
論文鏈接 \qquad 這篇文章中作者提出了一個支持動態特徵聚合的網絡DAR-Net。DAR-Net的核心思想是生成一個自適應的pooling skeleton，這個結構既考慮了場景的複雜結構也結合了局部幾何特徵。skeleton提供可變的半局部感受野和權重，成爲了連接局部卷積特徵提取器和全局循環特徵聚合器的橋樑。 \qquad skeleton如上圖所示，我的理解所謂skeleton就是一些能夠
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相關文章
- 1. Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring筆記
- 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. [論文閱讀]BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
- 6. Semantic Segmentation---DANet:Dual Attention Network for Scene Segmentation（論文解讀九）
- 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