Table 2. An ablation test of Selfee (Self-supervised Features Extraction) training process on fly datasets.
Model | Pre-trained ResNet-50 with random projectors | Selfee | Selfee without CLD loss | Selfee without Turbo transformation | ||||
---|---|---|---|---|---|---|---|---|
Evaluation | Mean F1 score | Mean AP | Mean F1 score | Mean AP | Mean F1 score | Mean AP | Mean F1 score | Mean AP |
Replication 1 | 0.586 | 0.580 | 0.724 | 0.758 | 0.227 | 0.227 | 0.604 | 0.550 |
Replication 2 | 0.597 | 0.570 | 0.676 | 0.683 | 0.163 | 0.200 | 0.574 | 0.551 |
Replication 3 | 0.596 | 0.586 | 0.714 | 0.754 | 0.172 | 0.214 | 0.517 | 0.497 |
Best | 0.597 | 0.586 | 0.724 * | 0.758 * | 0.227 | 0.227 | 0.604 | 0.551 |
Best results of different training setups under each evaluation metric are indicated in bold values.