Research Article
Robustness and Explainability of Image Classification Based on QCNN
Table 1
Experimental results of different bitplanes on MERA and boxcounting features.
| Feature | MERA accuracy | Box accuracy | MERA loss | Box loss |
| Original | 0.9531 | 0.9844 | 0.2526 | 0.0837 | Bitplane1 | 0.7246 | 0.7326 | 0.2353 | 0.3046 | Bitplane2 | 0.7244 | 0.7355 | 0.2839 | 0.2101 | Bitplane3 | 0.7203 | 0.7364 | 0.2892 | 0.2299 | Bitplane4 | 0.7348 | 0.7552 | 0.2486 | 0.2869 | Bitplane5 | 0.9688 | 0.8906 | 0.2118 | 0.7642 | Bitplane6 | 0.9844 | 0.9062 | 0.2044 | 0.2981 | Bitplane7 | 0.9844 | 0.8281 | 0.6144 | 0.7873 | Bitplane8 | 0.9531 | 0.9821 | 0.7535 | 0.6259 |
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