Image Classification on Imagenette (Accuracy)
75.84AccuracyGlobal
Evaluation results
| Method | Links | |
|---|---|---|
| GlobalBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 75.84 | |
| Raw ShiftBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 72.19 | |
| Repair ResidualBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 72.19 | |
| RRBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 71.23 | |
| ERKBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 69.55 | |
| UniformBackbone=ResNet18, Target Sparsity=95%, Seeds=32026.05 | 37.27 |