Table 2 21 Machine fingerprint model backbone comparison
From: Additive manufacturing source identification from photographs using deep learning
Model | Parameters | Accuracy |
|---|---|---|
EfficientNetV2-M | 54 M | 98.5% |
PoolFormer-M36 | 56 M | 98.3% |
ViT-B/16 | 87 M | 98.2% |
ConvNeXtV2-B | 89 M | 98.2% |
InceptionNeXt-B | 87 M | 95.2% |
