Table 2.
Performance of the candidate encoding models is evaluated in regards to retrieval and clustering. Retrieval scores are computed using an exponential weighting of each metric as a function of k. Cluster metrics are computed using standard formulas, where k=1.
| Image Retrieval Performance | Clustering Performance | ||||||||
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| Accuracy Retrieval Score | Precision Retrieval Score | Recall Retrieval Score | F1 Retrieval Score | Homogeneity | Completeness | V-measure | Adjusted Rand Index | Adjusted Mutual Info. | |
|
| |||||||||
| Multitask Siamese Network | 1.23 | 1.04 | 1.03 | 1.02 | 0.683 | 0.679 | 0.681 | 0.516 | 0.593 |
| Info VAE | 0.70 | 0.58 | 0.57 | 0.52 | 0.438 | 0.427 | 0.432 | 0.275 | 0.278 |
| Siamese Network (Triplet Loss) | 1.11 | 0.96 | 0.97 | 0.95 | 0.671 | 0.653 | 0.662 | 0.437 | 0.571 |
| SimSiam (Cosine Similarity) | 0.78 | 0.80 | 0.59 | 0.60 | 0.412 | 0.422 | 0.417 | 0.247 | 0.265 |
| Vanilla Autoencoder | 0.72 | 0.62 | 0.56 | 0.56 | 0.372 | 0.375 | 0.374 | 0.194 | 0.204 |