Table 3.
Comparison of the classification performance of each FCOS backbone.
| Backbone | Class | Recall | Precision | F1 score | Weighted F1 score | Total Accuracy |
|---|---|---|---|---|---|---|
| ResNet-18 | RBC | 0.9873 | 0.9803 | 0.9838 | 0.9708 | 0.9712 |
| PLT | 0.9912 | 0.9937 | 0.9925 | |||
| WBC | 0.9286 | 0.5417 | 0.6842 | |||
| ARBC | 0.7967 | 0.8645 | 0.8292 | |||
| ResNet-50 | RBC | 0.9596 | 0.9899 | 0.9745 | 0.9593 | 0.9568 |
| PLT | 0.9924 | 0.9937 | 0.9930 | |||
| WBC | 0.8571 | 1.0000 | 0.9231 | |||
| ARBC | 0.9004 | 0.6871 | 0.7795 | |||
| Swin | RBC | 0.9921 | 0.9716 | 0.9818 | 0.9663 | 0.9680 |
| Transformer | PLT | 0.9950 | 0.9901 | 0.9926 | ||
| WBC | 0.6875 | 1.0000 | 0.8148 | |||
| ARBC | 0.7090 | 0.8964 | 0.7918 | |||