Image Classification on ImageNet-1k (Top-1 Accuracy and Latency)
83.6Top-1 AccZenNet-1.2ms
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ZenNet-1.2msResolution=224, Parameters=180 M, FLOPs=22.0 G2021.02 | 83.6 | 1.2 | 0.85 | 2,051.1 | |
| ZenNet-0.8msResolution=224, Parameters=183 M, FLOPs=13.9 G2021.02 | 83 | 0.8 | 0.57 | 1,365 | |
| ZenNet-0.5msResolution=224, Parameters=118 M, FLOPs=8.3 G2021.02 | 82.7 | 0.5 | 0.41 | 798.7 | |
| ResNeSt-101Resolution=224, Parameters=48.3 M, FLOPs=10.2 G2021.02 | 82.3 | 1.4 | — | 1,130.59 | |
| ZenNet-0.3msResolution=224, Parameters=85.4 M, FLOPs=4.9 G2021.02 | 81.5 | 0.3 | 0.26 | 517 | |
| ResNeSt-50Resolution=224, Parameters=27.5 M, FLOPs=5.4 G2021.02 | 81.1 | 0.76 | — | 615.77 | |
| ZenNet-0.2msResolution=224, Parameters=49.7 M, FLOPs=3.4 G2021.02 | 80.8 | 0.2 | 0.16 | 357.4 | |
| ZenNet-900M-SEResolution=224, Parameters=13.3 M, FLOPs=926 M2021.02 | 80.8 | 0.55 | 0.55 | 215.68 | |
| OFANet-595MResolution=236, Parameters=9.1 M, FLOPs=595 M, Training Setting (Initialization/Supernet)=trained using supernet parameters as initialization2021.02 | 80 | 0.41 | 0.61 | 150.83 | |
| OFANet-595MResolution=236, Parameters=9.1 M, FLOPs=595 M, Training Setting (Initialization/Supernet)=trained from scratch2021.02 | 79.8 | 0.41 | 0.61 | 150.83 | |
| OFANet-482MResolution=224, Parameters=9.1 M, FLOPs=482 M, Training Setting (Initialization/Supernet)=trained using supernet parameters as initialization2021.02 | 79.6 | 0.33 | 0.57 | 142.76 | |
| OFANet-389MResolution=224, Parameters=8.4 M, FLOPs=389 M, Training Setting (Initialization/Supernet)=trained using supernet parameters as initialization2021.02 | 79.1 | 0.26 | 0.49 | 116.34 | |
| ZenNet-600M-SEResolution=224, Parameters=7.1 M, FLOPs=611 M2021.02 | 79.1 | 0.358 | 0.52 | 128.6 | |
| OFANet-482MResolution=224, Parameters=9.1 M, FLOPs=482 M, Training Setting (Initialization/Supernet)=trained from scratch2021.02 | 78.8 | 0.33 | 0.57 | 142.76 | |
| ZenNet-400M-SEResolution=224, Parameters=5.7 M, FLOPs=410 M2021.02 | 78 | 0.248 | 0.39 | 87.9 | |
| ZenNet-0.1msResolution=224, Parameters=30.1 M, FLOPs=1.7 G2021.02 | 77.8 | 0.1 | 0.08 | 181.7 | |
| DenseNet-161Resolution=224, Parameters=28.7 M, FLOPs=7.8 G2021.02 | 77.7 | 1.06 | 0.5 | 991.61 | |
| DenseNet-201Resolution=224, Parameters=20.0 M, FLOPs=4.3 G2021.02 | 77.2 | 0.89 | 1.1 | 642.98 | |
| OFANet-389MResolution=224, Parameters=8.4 M, FLOPs=389 M, Training Setting (Initialization/Supernet)=trained from scratch2021.02 | 76.3 | 0.26 | 0.49 | 116.34 | |
| OFANet-11msResolution=192, Parameters=6.2 M, FLOPs=352 M2021.02 | 76.1 | 0.17 | 0.19 | 94.17 | |
| DFNet-2aResolution=224, Parameters=18.1 M, FLOPs=2.0 G2021.02 | 76 | 0.19 | 0.09 | 223.2 | |
| DenseNet-169Resolution=224, Parameters=14.1 M, FLOPs=3.4 G2021.02 | 76 | 0.69 | 0.65 | 490.24 | |
| OFANet-9msResolution=118, Parameters=5.2 M, FLOPs=313 M2021.02 | 75.3 | 0.14 | 0.13 | 82.69 | |
| DenseNet-121Resolution=224, Parameters=8.0 M, FLOPs=2.9 G2021.02 | 74.7 | 0.53 | 0.43 | 395.51 | |
| DFNet-2Resolution=224, Parameters=18.0 M, FLOPs=1.8 G2021.02 | 73.9 | 0.12 | 0.07 | 168.04 |