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Comparative analysis of flops, average inference timey, and memory usage between diverse vision models and the proposed method.
| Model | FLOPs (G) | Average inference time (ms/image) | memory usage (MB) |
|---|---|---|---|
| VGG16 | 15.47 | 3.46 | 570.57 |
| AlexNet | 1.5 | 1.22 | 270.26 |
| ResNet50 | 4.41 | 3.10 | 258.17 |
| DenseNet | 2.91 | 8.12 | 197.11 |
| EfficientNetV2 | 2.91 | 7.49 | 243.86 |
| Inception_V3 | 4.12 | 5.24 | 255.64 |
| Vision Transformer | 16.87 | 4.62 | 367.39 |
| Swin Transformer | 15.47 | 13.83 | 389.85 |
| ConvNext | 4.47 | 3.06 | 152.78 |
| Proposed | 2.10 | 1.14 | 98.46 |
