Image Classification on CIFAR-10 (test) (Pruning & Specific Metrics)
0.949Baseline AccuracyPCC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PCCModel=ResNet-1102026.01 | 0.949 | 0.9295 | 0.0195 | 0.7747 | 0.7877 | |
| CCMModel=ResNet-1102026.01 | 0.9414 | 0.938 | 0.0034 | 0.694 | 0.684 | |
| FPRGModel=ResNet-1102026.01 | 0.9394 | 0.9227 | 0.0167 | 0.627 | 0.321 | |
| FPGMModel=ResNet-1102026.01 | 0.9368 | 0.9374 | -0.0016 | 0.523 | — | |
| l1-normModel=ResNet-1102026.01 | 0.9353 | 0.933 | 0.0023 | 0.387 | 0.324 | |
| NISPModel=ResNet-1102026.01 | 0.935 | 0.9332 | 0.0018 | 0.4378 | 0.4325 | |
| HRankModel=ResNet-1102026.01 | 0.935 | 0.9423 | -0.0073 | 0.412 | 0.394 | |
| CHIPModel=ResNet-1102026.01 | 0.935 | 0.9444 | -0.0094 | 0.521 | 0.483 | |
| GAL-0.5Model=ResNet-110, parameter=0.52026.01 | 0.935 | 0.9274 | 0.0076 | 0.485 | 0.448 | |
| CPRNCModel=ResNet-1102026.01 | 0.935 | 0.9416 | -0.0066 | 0.526 | 0.526 | |
| SCAPModel=ResNet-110, tau=0.52026.01 | 0.9263 | 0.9099 | 0.0164 | 0.8513 | 0.8267 | |
| SCAPModel=ResNet-110, tau=0.62026.01 | 0.9263 | 0.8978 | 0.0285 | 0.8939 | 0.8852 |