Image Classification on CIFAR100 (test) (Accuracy and Efficiency Metrics)
69.7Test AccuracyHBGTS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HBGTSBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 69.7 | -0.9 | 95.4 | 88.6 | |
| HBGTSBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 69.52 | -0.34 | 98.61 | 89.74 | |
| HBGTS-BBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 69.5 | 0.7 | 95.3 | 88.5 | |
| HBGTS-BBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 69.39 | 0.21 | 98.57 | 89.68 | |
| DenseBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 69.18 | 0 | — | — | |
| HBGSBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 69.1 | 0.3 | 95.2 | 88.5 | |
| HBGSBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 68.99 | 0.19 | 98.34 | 89.41 | |
| HBGS-BBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 68.9 | 0.1 | 95.1 | 88.3 | |
| HBGS-BBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 68.82 | 0.36 | 98.27 | 89.32 | |
| DenseBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 68.8 | 0 | — | — | |
| HBGTSBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 68.65 | -0.17 | 98.46 | 89.71 | |
| HBGTS-BBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 68.59 | 0.11 | 98.38 | 89.63 | |
| DenseBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 68.48 | 0 | — | — | |
| HBGSBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 68.25 | 0.23 | 98.28 | 89.35 | |
| HBGS-BBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 68.13 | 0.35 | 98.23 | 89.31 | |
| FP-BackwardBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 67.9 | 0.9 | 94.6 | 87.3 | |
| HBGTSBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 67.8 | -0.7 | 98.5 | 89.8 | |
| FP-BackwardBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 67.66 | 1.52 | 98.12 | 89.24 | |
| HBGTS-BBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 67.6 | 0.5 | 98.4 | 89.7 | |
| HBGSBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 67.3 | 0.2 | 98.3 | 89.6 | |
| HBGS-BBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 67.2 | 0.1 | 98.1 | 89.4 | |
| DenseBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 67.1 | 0 | — | — | |
| FP-BackwardBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 66.92 | 1.56 | 97.87 | 89.13 | |
| FP-BackwardBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 66.2 | 0.9 | 97.9 | 88 | |
| LRFBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 65.5 | 3.3 | 94.6 | 87.3 | |
| EarlyCroP-SBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 64.1 | 4.7 | 94.3 | 86.5 | |
| LRFBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 64 | 3.1 | 97.9 | 88 | |
| LRFBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 63.73 | 5.45 | 97.84 | 88.98 | |
| DLRFCBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 63.5 | 3.56 | 97.1 | 53.7 | |
| PLBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 63.5 | 3.6 | 97.3 | 87.9 | |
| LRFBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 63.17 | 5.31 | 97.43 | 88.56 | |
| LFPCBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 62.83 | 6.35 | 97.25 | 88.18 | |
| EarlyCroP-SBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 62.8 | 4.3 | 97.9 | 88 | |
| GCNPBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 62.71 | 6.47 | 97.37 | 88.42 | |
| DLRFCBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 62.13 | 7.05 | 97.51 | 88.73 | |
| LFPCBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 61.78 | 6.7 | 97.13 | 87.67 | |
| DAISBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 61.23 | 7.95 | 97.49 | 88.36 | |
| DAISBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 60.34 | 8.14 | 97.25 | 88.12 | |
| RandomBackbone=ResNet32, Parameter Reduction Target=98%2024.08 | 58.61 | 9.87 | 97.45 | 86.9 | |
| RandomBackbone=VGG16, Parameter Reduction Target=98%2024.08 | 55.5 | 11.6 | 98 | 86 | |
| RandomBackbone=ResNet18, Parameter Reduction Target=95%2024.08 | 54.9 | 13.9 | 93.1 | 84.2 | |
| RandomBackbone=ResNet56, Parameter Reduction Target=98%2024.08 | 52.64 | 16.54 | 97.9 | 87.32 |