Modified VGG-16 classifier | Binary (ALL-IDB) | 98.50 | 68.33 |
Modified InceptionNet classifier | 98.50 | 78.33 | |
Ensemble classifier | 94.50 | 83.33 | |
Modified VGG-16 classifier | Multi-class (real-images) | 98.56 | 93.20 |
Modified InceptionNet classifier | 99.76 | 97.87 | |
Ensemble classifier | 100 | 100 |
Diversity in features | Yes | No | Yes | Yes | No | Yes | Yes |
Generalization performance | Good | Good | Good | Good | Good | Excellent | Excellent |
Robustness to overfitting | High | High | High | High | Moderate | High | High |
Ensemble averaging benefit | Yes | No | No | No | No | No | No |
Feature learning capabilities | Rich | Deep hierarchical | Diverse | Moderate | Linear | Deep hierarchical | Diverse |
State-of-the-art performance | Yes | No (dated architecture) | Yes (at the time) | No | No | Yes | Yes (as of the time of training) |