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  This is a prunned version of the [Keras EfficientNetV2B0](https://keras.io/api/applications/efficientnet_v2/#efficientnetv2b0-function) model in a [toch-dag](https://github.com/TCLResearchEurope/torch-dag) format.
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- This model has rougly 76% of the original model FLOPs with minimal metrics drop.
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  | Model | KMAPPs* | M Parameters | Accuracy (224x224) |
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  | ----------- | ----------- | ----------- | ------------------ |
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  | **Keras EfficientNetV2B (baseline)** | 29 | 7.1 | 78.69% |
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- | **efficientnetv2_b0_pruned_76 (ours)** | 22.1 **(76%)** | 7 **(99%)** | 78.82% **( 0.13%)** |
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  \***KMAPPs** thousands of FLOPs per input pixel
 
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  This is a prunned version of the [Keras EfficientNetV2B0](https://keras.io/api/applications/efficientnet_v2/#efficientnetv2b0-function) model in a [toch-dag](https://github.com/TCLResearchEurope/torch-dag) format.
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+ This model has rougly 76% of the original model FLOPs with minimal metrics gain.
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  | Model | KMAPPs* | M Parameters | Accuracy (224x224) |
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  | ----------- | ----------- | ----------- | ------------------ |
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  | **Keras EfficientNetV2B (baseline)** | 29 | 7.1 | 78.69% |
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+ | **efficientnetv2_b0_pruned_76 (ours)** | 22.1 **(76%)** | 7 **(99%)** | 78.82% **( 0.13%)** |
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  \***KMAPPs** thousands of FLOPs per input pixel