Image Classification on CIFAR-100 (Model Pruning Evaluation)
74.02Base AccuracyGReg-1
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GReg-1Backbone=VGG-192023.01 | 74.02 | 67.55 | -6.67 | 8.84 | |
| GReg-2Backbone=VGG-192023.01 | 74.02 | 67.75 | -6.27 | 8.84 | |
| DepGraph w/o SLBackbone=VGG-192023.01 | 73.5 | 67.6 | -5.44 | 8.87 | |
| DepGraphBackbone=VGG-192023.01 | 73.5 | 70.39 | -3.11 | 8.92 | |
| OBDBackbone=VGG-19, Configuration=5.73x Speed Up2023.01 | 73.34 | 60.7 | -12.64 | 5.73 | |
| OBDBackbone=VGG-19, Configuration=6.09x Speed Up2023.01 | 73.34 | 60.66 | -12.68 | 6.09 | |
| EigenDBackbone=VGG-192023.01 | 73.34 | 65.18 | -8.16 | 8.8 |