Learning Dynamic Routing for Semantic Segmentation——在線動態定義網絡結構
Paper Link: https://arxiv.org/abs/2003.10401 GitHub (PyTorch): https://github.com/yanwei-li/DynamicRouting Introduction 如何有效應對輸入圖像中目標尺度的差異與多樣性，是語義分割面臨的一個難題； 傳統的解法主要是設計良好的靜態網絡結構: FCN, U-Net, PSPNet, Co
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相關文章
- 1. 《Learning Dynamic Routing for Semantic Segmentation》
- 2. Learning Dynamic Routing for Semantic Segmentation---學習用於語義分割的動態路徑
- 3. Learning Deconvolution Network for Semantic Segmentation
- 4. Adversarial learning for semi-supervised semantic segmentation
- 5. DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation[Arxiv]
- 6. [語義分割]--ICCV2019-Dynamic Multi-scale Filters for Semantic Segmentation
- 7. DGCNN (Dynamic Graph CNN for Learning on Point Clouds,動態圖卷積網絡)
- 8. Learning Deconvolution Network for Semantic Segmentation 筆記
- 9. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 10. 《Learning Deconvolution Network for Semantic Segmentation》論文筆記