Image Classification on CIFAR-10 (Model Compression Metrics)
0.73Top-1 Accuracy (Delta %)HRank
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HRankBackbone=ResNet-1102025.12 | 0.73 | 93.5 | 1.65 | 1.7 | |
| NEXPBackbone=ResNet-1102025.12 | 0.66 | 93.79 | 1.1 | 1.2 | |
| NEXPBackbone=ResNet-1102025.12 | 0.18 | 93.79 | 1.78 | 1.8 | |
| GAL-0.6Backbone=ResNet-562025.12 | 0.12 | 93.26 | 1.13 | 1.6 | |
| DTPBackbone=ResNet-562025.12 | 0.12 | 93.36 | 2.01 | 1.99 | |
| NEXPBackbone=ResNet-1102025.12 | 0.1 | 93.79 | 2.72 | 2.42 | |
| GAL-0.1Backbone=ResNet-1102025.12 | 0.09 | 93.5 | 1.04 | 1.23 | |
| ABCBackbone=ResNet-1102025.12 | 0.08 | 93.5 | 3.09 | 2.87 | |
| NEXPBackbone=ResNet-562025.12 | 0.05 | 93.36 | 1.69 | 1.53 | |
| L1Backbone=ResNet-562025.12 | 0.02 | 93.06 | 1.16 | 1.37 | |
| L1Backbone=ResNet-1102025.12 | 0.02 | 93.55 | 1.02 | 1.19 | |
| NUCLEARBackbone=ResNet-562025.12 | -0.07 | 93.59 | 1.16 | 1.45 | |
| HRankBackbone=ResNet-562025.12 | -0.09 | 93.26 | 1.74 | 2.01 | |
| HRankBackbone=ResNet-1102025.12 | -0.14 | 93.5 | 2.46 | 2.39 | |
| NISP-110Backbone=ResNet-1102025.12 | -0.18 | — | 1.76 | 1.78 | |
| NEXPBackbone=ResNet-1102025.12 | -0.37 | 93.79 | 3.81 | 3.01 | |
| NEXPBackbone=ResNet-562025.12 | -0.41 | 93.36 | 2.87 | 2.11 | |
| SCPBackbone=ResNet-562025.12 | -0.46 | 93.69 | 1.94 | 2.06 | |
| NEXPBackbone=ResNet-1102025.12 | -0.59 | 93.79 | 4.38 | 3.27 | |
| GAL-0.5Backbone=ResNet-1102025.12 | -0.76 | 93.5 | 1.81 | 1.94 | |
| HRankBackbone=ResNet-1102025.12 | -0.85 | 93.5 | 3.25 | 3.19 | |
| NEXPBackbone=ResNet-562025.12 | -1.58 | 93.36 | 4.3 | 2.5 | |
| GAL-0.8Backbone=ResNet-562025.12 | -1.68 | 93.26 | 2.93 | 2.51 | |
| NUCLEARBackbone=ResNet-562025.12 | -1.94 | 93.59 | 2.83 | 2.77 | |
| HRankBackbone=ResNet-562025.12 | -2.54 | 93.26 | 3.15 | 3.86 | |
| NEXPBackbone=ResNet-562025.12 | -5.12 | 93.36 | 21.5 | 5 | |
| DTPBackbone=ResNet-562025.12 | -7.18 | 93.36 | 20.79 | 19.31 |