Table 10.
Explainability metrics (CO, COM, CD, ADCC) for the proposed model for the LG dataset.
Dataset: LG | ||||
---|---|---|---|---|
Model | CO ↑ | COM ↓ | CD ↓ | ADCC ↑ |
ResNet-50 | 28.54 | 0.24 | 42.50 | 55.08 |
DenseNet-201 | 28.96 | 0.24 | 40.88 | 59.81 |
EfficientNet-b0 | 32.20 | 0.24 | 43.38 | 63.22 |
ResNeXt-50 | 31.59 | 0.24 | 40.00 | 58.00 |
ConvNeXt | 30.89 | 0.24 | 8.53 | 57.69 |
CoatNet-small | 37.71 | 0.24 | 32.25 | 69.14 |
The values highlighted in bold represent the best result for each metric among all the backbone models.