Linkage Based Face Clustering via Graph Convolution Network
Linkage Based Face Clustering via Graph Convolution Network 本文使用图卷积做基于边预测的脸聚类，如果两个点属于同一类，那么这两个点之间就会有一条边连接，最后找出所有的图即找到了所有的簇，也不用事先指定簇的个数。本文只考虑局部信息，即一个节点和它的邻居节点，最后再将所有的子图的聚合，得到所有节点的聚类结果。 问题定义 假设现在有脸图像的特征
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相关文章
- 1. Linkage Based Face Clustering via Graph Convolution Network
- 2. CVPR 2019 Linkage Based Face Clustering via Graph Convolution Network论文翻译
- 3. 深入理解CVPR 2019论文 Linkage Based Face Clustering via Graph Convolution Network基于图卷积的人脸聚类
- 4. 论文笔记：2019[IJCAI]Attributed Graph Clustering via Adaptive Graph Convolution
- 5. Graphic Convolution Network(GCN)
- 6. A Rank-Order Distance based Clustering Algorithm for Face Tagging
- 7. paper reading：Part-based Graph Convolutional Network for Action Recognition
- 8. 推荐系统（五）Graph Convolution Network
- 9. 3D Shape Classification——Point-based Discrete Convolution Network
- 10. 【论文整理】Face Related Papers and Code Collection Image-based Template Genearator