论文笔记：Multi-Label Image Recognition with Graph Convolutional Networks
论文：Multi-Label Image Recognition with Graph Convolutional Networksgit 经过data-driven方式创建有向图用于描述标签之间的关联关系，提出了基于图卷积（GCN）的端到端多标签分类系统。经过ResNet101对图像进行特征提取，经过GCN学习到标签映射做为标签分类器对图像的特征向量进行分类。github 一、Introduct
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相关文章
- 1. Multi-Label Image Recognition with Graph Convolutional Networks 论文笔记
- 2. Multi-Label Image Recognition with Graph Convolutional Networks 论文阅读笔记
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- 5. 《Multi-Label Image Recognition with Graph Convolutional Networks》论文理解
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- 7. 论文笔记：LCML 2019 Simplifying Graph Convolutional Networks
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