Image Classification on ImageNet 1K IPC10
29.6AccuracyLPQLD
Evaluation results
| Method | Links | |
|---|---|---|
| LPQLDBackbone=ResNet-18, Storage Size ({z, F})=129M2026.04 | 29.6 | |
| MRTop-k=k=50, Backbone=ResNet-18, Storage Size ({z, F})=753M2026.04 | 17.7 | |
| MRTop-k=k=25, Backbone=ResNet-18, Storage Size ({z, F})=478M2026.04 | 16.6 | |
| MSTop-k=k=50, Backbone=ResNet-18, Storage Size ({z, F})=753M2026.04 | 16.5 | |
| MRTop-k=k=5, Backbone=ResNet-18, Storage Size ({z, F})=203M2026.04 | 12.6 | |
| MSTop-k=k=25, Backbone=ResNet-18, Storage Size ({z, F})=478M2026.04 | 12.4 | |
| MSTop-k=k=5, Backbone=ResNet-18, Storage Size ({z, F})=203M2026.04 | 7.5 | |
| MRTop-k=k=1, Backbone=ResNet-18, Storage Size ({z, F})=203M2026.04 | 5.1 | |
| MSTop-k=k=1, Backbone=ResNet-18, Storage Size ({z, F})=203M2026.04 | 4 |