Image Classification on ImageNet (Standard Top-K Accuracy)
71.3Top-1 AccLTR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LTRModel=ResNet-50, Sparsity=90.0%, Time=35.2 hr2025.12 | 71.3 | — | — | |
| CTSKLModel=ResNet-50, Sparsity=90.0%, Time=20.7 hr2025.12 | 66.3 | — | — | |
| CTSKLModel=ResNet-50, Sparsity=99.0%, Time=20.8 hr2025.12 | — | 65.4 | — | |
| CTSKLModel=ResNet-50, Sparsity=99.9%, Time=20.7 hr2025.12 | — | — | 24.2 | |
| LTRModel=ResNet-50, Sparsity=99.0%, Time=59.1 hr2025.12 | — | 60.5 | — | |
| LTRModel=ResNet-50, Sparsity=99.9%, Time=82.6 hr2025.12 | — | — | 6.7 |