Table 3.
Performance comparison on ETP dataset.
| Methods | Backbone | Acc | F1 |
|---|---|---|---|
| ACEDSNet (Li et al., 2021) | MobileNet | 96.8 | – |
| ResNet-50 + DA (Huang et al., 2022) | ResNet-50 | 97.1 | 96.1 |
| Pre-trained DenseNet-169* (Huang et al., 2017) | DenseNet-169 | 99.2 | 99.2 |
| Pre-trained ResNet-50* (He et al., 2016) | ResNet-50 | 99.7 | 99.7 |
| Ours (general branch) | ResNet-50 | 99.7 | 99.7 |
| Ours (improving branch) | ResNet-50 | 100 | 100 |
The bolded lines are the results obtained by our method, to emphasize.