Image Classification on CIFAR-100 (Accuracy, Std.)
95.5AccuracyAdaptive DBN (TS)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Adaptive DBN (TS)No. of student models=102025.11 | 95.5 | 0.8 | |
| Adaptive DBN (TS)No. of student models=52025.11 | 85.8 | 1.9 | |
| Adaptive DBN2025.11 | 81.2 | 0.8 | |
| Convolutional NN (Wide ResNet)2025.11 | 80.7 | — | |
| Convolutional NN (ELU-Network)2025.11 | 75.7 | — | |
| Convolutional NN (Fract. Max Pooling)2025.11 | 72.3 | — | |
| Convolutional NN (Maxout)2025.11 | 61.4 | — |