Image Classification on CompCars Surveillance (test)
99.2Top-1 AccOurs
Evaluation results
| Method | Links | |
|---|---|---|
| OursCNN Type=NAS-based2020.06 | 99.2 | |
| Fang et al.CNN Type=Manual2020.06 | 98.6 | |
| GoogLeNetCNN Type=Manual2020.06 | 98.4 | |
| SNASCNN Type=NAS-based2020.06 | 98.4 | |
| OverfeatCNN Type=Manual2020.06 | 98.3 | |
| DARTSCNN Type=NAS-based2020.06 | 98.1 | |
| AlexNetCNN Type=Manual2020.06 | 98 | |
| FedFTGbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 51.85 | |
| FedDynbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 50.46 | |
| SCAFFOLDbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 48.64 | |
| FedDFbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 47.31 | |
| FedGenbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 45.96 | |
| FedProxbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 44.07 | |
| FedAvgbeta=0.6, communication rounds=100, clients=50, resolution=112*1122022.03 | 43.34 |