Linkage Based Face Clustering via Graph Convolution Network
Linkage Based Face Clustering via Graph Convolution Network 本文使用圖卷積做基於邊預測的臉聚類，如果兩個點屬於同一類，那麼這兩個點之間就會有一條邊連接，最後找出所有的圖即找到了所有的簇，也不用事先指定簇的個數。本文只考慮局部信息，即一個節點和它的鄰居節點，最後再將所有的子圖的聚合，得到所有節點的聚類結果。 問題定義 假設現在有臉圖像的特徵
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相關文章
- 1. Linkage Based Face Clustering via Graph Convolution Network
- 2. CVPR 2019 Linkage Based Face Clustering via Graph Convolution Network論文翻譯
- 3. 深入理解CVPR 2019論文 Linkage Based Face Clustering via Graph Convolution Network基於圖卷積的人臉聚類
- 4. 論文筆記：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. 推薦系統（五）Graph Convolution Network
- 9. 3D Shape Classification——Point-based Discrete Convolution Network
- 10. 【論文整理】Face Related Papers and Code Collection Image-based Template Genearator