Research Article
Effective and Generalizable Graph-Based Clustering for Faces in the Wild
Table 1
Comparison of clustering results in the Labeled Faces in the Wild (LFW) database.
| Method | F-measure | FBcubed | Clusters |
| ResNet-29 + k-means () | 0.158 | 0.750 | 5749 | ResNet-29 + k-means () | 0.153 | 0.749 | 5761 | ResNet-29 + k-means () | 0.143 | 0.749 | 6352 | ResNet-29 + GLC | 0.920 | 0.911 | 6809 | Approximate Rank-order [7] | 0.870 | — | 6508 | ConPaC [4] | 0.965 | 0.922 | 6352 | ResNet-29 + Approximate Rank-order | 0.696 | 0.859 | 6564 | ResNet-29 + ours (proposed) | 0.973 | 0.934 | 5761 |
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The true number of identities is 5,749, and the total number of face images is 13,233.
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