ImageNet-ReaL Dataset
family | model | params (m) | pretrain | finetune | GFLOPs | Top-1 |
---|---|---|---|---|---|---|
ResNet (RSB) | ResNet-18 (RSB) | 11.7 | IN-1k : Sup. : 600 | — : — : — | 1.8 | 79.4 |
ResNet (RSB) | ResNet-34 (RSB) | 21.8 | IN-1k : Sup. : 600 | — : — : — | 3.7 | 83.4 |
ResNet (RSB) | ResNet-50 (RSB) | 25.6 | IN-1k : Sup. : 600 | — : — : — | 4.1 | 85.7 |
ResNet (RSB) | ResNet-101 (RSB) | 44.5 | IN-1k : Sup. : 600 | — : — : — | 7.9 | 86.3 |
ResNet (RSB) | ResNet-152 (RSB) | 60.2 | IN-1k : Sup. : 600 | — : — : — | 11.6 | 86.4 |
family | model | params (m) | pretrain | finetune | gflops | top-1 | top-5 |
---|---|---|---|---|---|---|---|
ResNet (RSB) | ResNet-18 (RSB) | 11.7 | IN-1k : Sup. : 600 | — : — : — | 1.8 | 79.4 | — |
ResNet (RSB) | ResNet-34 (RSB) | 21.8 | IN-1k : Sup. : 600 | — : — : — | 3.7 | 83.4 | — |
ResNet (RSB) | ResNet-50 (RSB) | 25.6 | IN-1k : Sup. : 600 | — : — : — | 4.1 | 85.7 | — |
ResNet (RSB) | ResNet-101 (RSB) | 44.5 | IN-1k : Sup. : 600 | — : — : — | 7.9 | 86.3 | — |
ResNet (RSB) | ResNet-152 (RSB) | 60.2 | IN-1k : Sup. : 600 | — : — : — | 11.6 | 86.4 | — |