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https://github.com/kentaroy47/compare-efficientnet-and-resnet

Compare performance of efficientnet against resnet in pytorch
https://github.com/kentaroy47/compare-efficientnet-and-resnet

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Compare performance of efficientnet against resnet in pytorch

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# compare-efficientnet-and-resnet
Compare performance of efficientnet against resnet in pytorch

# Enviroment
- AWS p3.2xlarge (V100 GPU)
- CUDA 10.1
- VOC2007 Images

Resnet models are from torchvision.

# Results
| *Name* |*# Params*|*Top-1 Acc.*|*GPU time?* |*CPU time?*|
|:-----------------:|:--------:|:----------:|:-----------:|:----------|
| `efficientnet-b0` | 5.3M | 76.3 |16.3ms |75ms |
| `efficientnet-b1` | 7.8M | 78.8 |23.2ms |111ms |
| `efficientnet-b2` | 9.2M | 79.8 |23.3ms |123ms|
| `efficientnet-b3` | 12M | 81.1 |26.4ms |173ms|
| `efficientnet-b4` | 19M | 82.6 |32.1ms |295ms|
| `efficientnet-b5` | 30M | 83.3 |40.3ms |542ms|
| `efficientnet-b6` | 43M | 84.0 |45.3ms |918ms|
| `efficientnet-b7` | 66M | 84.4 |57.3ms |1970ms|
| `Res18` | ? | 69.4 |3.8ms |48ms|
| `Res34` | ? | 73.3 |6.5ms |85ms|
| `Res50` | ? | 76.1 |9.6ms |115ms|
| `Res101` | ? | 77.3 |18.2ms |200ms|
| `Res152` | ? | 78.3 |26.9ms |288ms|