Table 2 Top-1 accuracy (%) comparison of CIFAR-10, CIFAR-100, and ImageNet.
Model | CIFAR-10 | CIFAR-100 | ImageNet (Top-1) | ImageNet (Top-5) | Avg. Improvement |
|---|---|---|---|---|---|
ResNet-18(Baseline) | 94.2 ± 0.1 | 75.3 ± 0.2 | 69.76 ± 0.12 | 89.08 ± 0.09 | - |
ResNet-18 + SE-Net | 94.8 ± 0.1 | 76.1 ± 0.2 | 70.13 ± 0.10 | 89.45 ± 0.08 | + 0.6% +0.8% +0.37% |
ResNet-18 + CBAM | 95.1 ± 0.1 | 76.5 ± 0.2 | 70.72 ± 0.11 | 89.88 ± 0.07 | + 0.9% +1.2% +0.96% |
ResNet-18 + ECA-Net | 95.0 ± 0.1 | 76.3 ± 0.2 | 70.58 ± 0.09 | 89.79 ± 0.08 | + 0.8% +1.0% +0.82% |
ResNet-18 + CA | 95.2 ± 0.1 | 76.7 ± 0.2 | 70.89 ± 0.10 | 90.01 ± 0.07 | + 1.0% +1.4% +1.13% |
ResNet-18 + DMSCA | 96.5 ± 0.1 | 77.1 ± 0.2 | 71.03 ± 0.08 | 90.15 ± 0.06 | + 2.3% +1.8% +1.27% |
ResNet-34 (Baseline) | 94.8 ± 0.1 | 76.8 ± 0.2 | 73.31 ± 0.10 | 91.42 ± 0.07 | - |
ResNet-34 + SE-Net | 95.3 ± 0.1 | 77.4 ± 0.2 | 73.78 ± 0.09 | 91.75 ± 0.06 | + 0.5% +0.6% +0.47% |
ResNet-34 + CBAM | 95.9 ± 0.1 | 78.2 ± 0.2 | 74.25 ± 0.08 | 92.03 ± 0.05 | + 1.1% +1.4% +0.94% |
ResNet-34 + ECA-Net | 95.5 ± 0.1 | 77.6 ± 0.2 | 74.01 ± 0.09 | 91.89 ± 0.06 | + 0.7% +0.8% +0.70% |
ResNet-34 + CA | 95.7 ± 0.1 | 78.0 ± 0.2 | 74.18 ± 0.08 | 91.98 ± 0.05 | + 0.9% +1.2% +0.87% |
ResNet-34 + DMSCA | 97.1 ± 0.1 | 78.6 ± 0.2 | 74.52 ± 0.07 | 92.21 ± 0.04 | + 2.3% +1.8% +1.21% |
ResNet-50 (Baseline) | 95.1 ± 0.1 | 77.8 ± 0.2 | 76.13 ± 0.08 | 92.87 ± 0.05 | - |
ResNet-50 + SE-Net | 95.7 ± 0.1 | 78.4 ± 0.2 | 76.75 ± 0.07 | 93.28 ± 0.04 | + 0.6% +0.6% +0.62% |
ResNet-50 + CBAM | 96.0 ± 0.1 | 78.7 ± 0.2 | 77.12 ± 0.06 | 93.51 ± 0.04 | + 0.9% +0.9% +0.99% |
ResNet-50 + ECA-Net | 95.9 ± 0.1 | 78.6 ± 0.2 | 77.03 ± 0.07 | 93.45 ± 0.05 | + 0.8% +0.8% +0.90% |
ResNet-50 + CA | 96.1 ± 0.1 | 78.9 ± 0.2 | 77.28 ± 0.06 | 93.60 ± 0.04 | + 1.0% +1.1% +1.15% |
ResNet-50 + DMSCA | 97.3 ± 0.1 | 79.5 ± 0.2 | 77.65 ± 0.05 | 93.82 ± 0.03 | + 2.2% +1.7% +1.52% |
