Neural Architecture Search On Food 101
评估指标
Accuracy (%)
FLOPS
PARAMS
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy (%) | FLOPS | PARAMS |
|---|---|---|---|
| neural-architecture-transfer | 88.5 | 266M | 4.1M |
| balanced-mixture-of-supernets-for-learning | - | - | - |
| neural-architecture-transfer | 87.4 | 198M | 3.1M |
| neural-architecture-transfer | 89.4 | 361M | 4.5M |
| neural-architecture-transfer | 89.0 | 299M | 3.9M |