Learning Dynamic Routing for Semantic Segmentation——在线动态定义网络结构
Paper Link: https://arxiv.org/abs/2003.10401 GitHub (PyTorch): https://github.com/yanwei-li/DynamicRouting Introduction 如何有效应对输入图像中目标尺度的差异与多样性，是语义分割面临的一个难题； 传统的解法主要是设计良好的静态网络结构: FCN, U-Net, PSPNet, Co
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相关文章
- 1. 《Learning Dynamic Routing for Semantic Segmentation》
- 2. Learning Dynamic Routing for Semantic Segmentation---学习用于语义分割的动态路径
- 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. [语义分割]--ICCV2019-Dynamic Multi-scale Filters for Semantic Segmentation
- 7. DGCNN (Dynamic Graph CNN for Learning on Point Clouds,动态图卷积网络)
- 8. Learning Deconvolution Network for Semantic Segmentation 笔记
- 9. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 10. 《Learning Deconvolution Network for Semantic Segmentation》论文笔记