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@@ -19,7 +19,9 @@ We propose a novel model-based approach to adapt the instance embeddings to the
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2020
## Results
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Results on the **MiniImageNet** with ResNet-12 backbone (Same as [this repo](https://github.com/kjunelee/MetaOptNet)):
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Experimental results on few-shot learning datasets with ResNet-12 backbone (Same as [this repo](https://github.com/kjunelee/MetaOptNet)). We report average results with 10,000 randomly sampled few-shot learning episodes for stablized evaluation.
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**MiniImageNet Dataset**
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| Setups | 1-Shot 5-Way | 5-Shot 5-Way | Link to Weights |
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|:--------:|:------------:|:------------:|:-----------------:|
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| ProtoNet | 62.39 | 80.53 | [Coming Soon]() |
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| GCN | 64.50 | 81.65 | [Coming Soon]() |
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| FEAT | **66.78** | **82.05** | [Coming Soon]() |
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Results on the **TieredImageNet** with ResNet-12 backbone:
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**TieredImageNet Dataset**
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| Setups | 1-Shot 5-Way | 5-Shot 5-Way | Link to Weights |
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|:--------:|:------------:|:------------:|:-----------------:|
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| ProtoNet | 68.23 | 84.03 | [Coming Soon]() |

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