Image Classification on CIFAR-10 (test) (Accuracy and Relative BOPs)
91.8AccuracyQST-P
Evaluation results
| Method | Links | ||
|---|---|---|---|
| QST-PWeights=MP, Pruning=Unstruc., Backbone=ResNet-202025.12 | 91.8 | 5 | |
| BaselineWeights=32bit, Pruning=None, Backbone=ResNet-202025.12 | 91.7 | 100 | |
| QST-QWeights=MP, Pruning=Unstruc., Backbone=ResNet-202025.12 | 91.6 | 3.3 | |
| GETAWeights=MP, Pruning=Struct., Backbone=ResNet-202025.12 | 91.42 | 4.5 | |
| SQLWeights=MP, Pruning=Unstruc., Backbone=ResNet-202025.12 | 90.9 | 6.1 |