Image Classification on CIFAR-100 (test) (Statistical Reporting)
84.23Best AccuracyMIM-DARTS
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MIM-DARTSSearch Dataset=CIFAR-102022.11 | 84.23 | 83.81 | — | |
| DARTS+Search Dataset=CIFAR-102022.11 | 83.72 | — | — | |
| P-DARTSSearch Dataset=CIFAR-102022.11 | 82.8 | — | — | |
| IDE-IFNetwork structure=CIFARNet-F, Time steps=100, Neurons=232K, Params=14.8M2021.09 | 73.43 | 73.07 | 0.21 | |
| IDE-IFNetwork structure=AlexNet-F, Time steps=100, Neurons=159K, Params=5.2M2021.09 | 72.23 | 72.02 | 0.16 | |
| IDE-IFNetwork structure=CIFARNet-F, Time steps=30, Neurons=232K, Params=14.8M2021.09 | 72.1 | 71.56 | 0.31 | |
| ANN-SNNNetwork structure=VGG-*, Time steps=300, Neurons=540K, Params=9.7M2021.09 | 71.84 | — | — | |
| ANNNetwork structure=VGG-16, Neurons=311K, Params=15M2021.09 | 71.22 | — | — | |
| ANN-SNNNetwork structure=VGG-16, Time steps=2500, Neurons=311K, Params=15M2021.09 | 70.77 | — | — | |
| ANN-SNNNetwork structure=VGG-16, Time steps=400-600, Neurons=318K, Params=40M2021.09 | 70.55 | — | — | |
| beta-DARTSSearch Dataset=CIFAR-102022.11 | — | 83.76 | — |