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Face Clustering Benchmarks
yl-1993 edited this page Jun 6, 2019
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| Parts | #class | #instance |
|---|---|---|
| 0 | 8573 | 576494 |
| 1 | 8573 | 584013 |
| 3 | 25719 | 1740301 |
| 5 | 42865 | 2890517 |
| 7 | 60011 | 4046365 |
| 9 | 77157 | 5206761 |
| Parts | #class | #instance |
|---|---|---|
| 0 | 159 | 14653 |
| 1 | 1436 | 140629 |
| Method | #cluster | Precision | Recall | F-score |
|---|---|---|---|---|
| Approx Rank Order (knn=80, th=0) | 286098 | 99.77 | 7.2 | 13.42 |
| MiniBatchKmeans (ncluster=5000, bs=100) | 5000 | 45.48 | 80.98 | 58.25 |
| KNN DBSCAN (knn=80, th=0.7, eps=0.7, min=40) | 290847 | 62.38 | 50.66 | 55.92 |
| FastHAC (dist=0.72, single) | 122754 | 92.07 | 57.28 | 70.63 |
| CDP (single model, th=0.7) | 83034 | 80.19 | 70.47 | 75.02 |
| GCN-D (0.7, 0.75) | 100102 | 95.41 | 67.79 | 79.26 |
| GCN-D (0.65, 0.7, 0.75) | 79072 | 94.64 | 71.53 | 81.48 |
| GCN-D (0.6, 0.65, 0.7, 0.75) | 74919 | 94.60 | 72.52 | 82.10 |
| Method | #cluster | Precision | Recall | F-score |
|---|---|---|---|---|
| Approx Rank Order (knn=80, th=0) | 17677 | 99.95 | 45.2 | 62.25 |
| MiniBatchKmeans (ncluster=1500, bs=100) | 1500 | 76.87 | 51.86 | 61.93 |
| MiniBatchKmeans (ncluster=1500, bs=16) | 1500 | 81.97 | 97.67 | 67.71 |
| KNN DBSCAN (knn=80, th=0.7, eps=0.7, min=40) | 36400 | 98.99 | 79.46 | 88.16 |
| KNN DBSCAN (knn=80, th=0.7, eps=0.7, min=1) | 2841 | 98.06 | 84.82 | 90.96 |
| FastHAC (dist=0.7, single) | 3621 | 99.64 | 87.31 | 93.07 |
| CDP (single model, th=0.7, knn=160, maxsz=1600) | 2736 | 94.59 | 91.73 | 93.13 |