Image Classification on CIFAR-100 (Accuracy and Model Efficiency)
73.99Top-1 AccuracysTLP-IB
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| sTLP-IBBackbone=VGGNet-162025.02 | 73.99 | 55 | 71 | 0.19 | |
| sGLP-IBBackbone=VGGNet-162025.02 | 73.96 | 55 | 71 | 0.16 | |
| APIBBackbone=VGGNet-162025.02 | 73.89 | 48 | 57 | 0.09 | |
| VGGNet-16Backbone=VGGNet-162025.02 | 73.8 | 0 | 0 | 0 | |
| PGMPF-SFPBackbone=VGGNet-162025.02 | 73.66 | 48 | — | -0.14 | |
| CPGMIBackbone=VGGNet-162025.02 | 73.53 | 37 | — | -0.27 | |
| PGMPFBackbone=VGGNet-162025.02 | 73.45 | 48 | — | -0.35 | |
| CPMCBackbone=VGGNet-162025.02 | 73.01 | 48 | — | -0.79 |