Image Classification on MNIST S=600 (train)
88.44Best AccuracyProposed (I)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Proposed (I)Type=I2025.02 | 88.44 | 86.98 | |
| Random layer insertion (I)Type=I2025.02 | 88 | 86.78 | |
| NAS2025.02 | 88 | — | |
| Baseline network2025.02 | 87.81 | 86.78 | |
| Forward Thinking2025.02 | 87.66 | 86.6 | |
| Net2DeeperNet (II)Type=II2025.02 | 87.64 | 86.76 | |
| Proposed (II)Type=II2025.02 | 87.4 | 86.52 |