Image Classification on STL10 In-Distribution (ID)
91.22AccuracySESN
Evaluation Results
| Method | Links | |
|---|---|---|
| SESNParams (M)=10.96, MACs (G)=227.02, MACs/Params (G/M)=28.47, Training Time (s/epoch)=89, Training VRAM Footprint (MB)=30440, Inference Time (s)=482023.05 | 91.22 | |
| ResNeXt41-WMCGParams (M)=7.97, MACs (G)=10.05, MACs/Params (G/M)=1.28, Training Time (s/epoch)=31, Training VRAM Footprint (MB)=23184, Inference Time (s)=112023.05 | 90.78 | |
| RST-CNNParams (M)=9.74, MACs (G)=850.23, MACs/Params (G/M)=106.62, Training Time (s/epoch)=437, Training VRAM Footprint (MB)=79248, Inference Time (s)=1842023.05 | 88.81 | |
| ResNeXt41Params (M)=8.15, MACs (G)=10.05, MACs/Params (G/M)=1.26, Training Time (s/epoch)=27, Training VRAM Footprint (MB)=21886, Inference Time (s)=112023.05 | 87.93 |