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[Docs] correct batch size in the readme (#21)
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* [Docs] update batch size

* update readme

* update readme
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@linyq17
linyq17 committed Dec 8, 2021
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -82,9 +82,9 @@ Supported algorithms:
## Changelog


## Installation
## Installation & Dataset Preparation

Please refer to [install.md](docs/install.md) for installation of mmfewshot and [guidance](tools/data/README.md) for dataset preparation.
Please refer to [install.md](docs/install.md) for installation of mmfewshot and [data preparation](tools/data/README.md) for dataset preparation.

## Getting Started

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2 changes: 1 addition & 1 deletion README_zh-CN.md
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Expand Up @@ -80,7 +80,7 @@ MMFewShot 是一款基于 PyTorch 的少样本学习代码库，是 [OpenMMLab](

## 更新记录

## 安装
## 安装与准备数据集

请参考[安装文档](docs/install.md)进行安装和参考[数据准备](tools/data/README.md)准备数据集。

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24 changes: 12 additions & 12 deletions configs/classification/maml/README.md
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Expand Up @@ -82,27 +82,27 @@ python ./tools/classification/test.py \

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 60.32 | 0.5 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot_20211031_125617-c00d532b.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 77.03 | 0.39 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot_20211031_125919-48d15b7a.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 70.44 | 0.55 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot_20211031_130240-542c4387.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 85.5 | 0.33 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot_20211031_130534-1de7c6d3.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot.log.json) |
| [conv4](/configs/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 60.32 | 0.5 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot_20211031_125617-c00d532b.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 77.03 | 0.39 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot_20211031_125919-48d15b7a.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_conv4_1xb105_cub_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 70.44 | 0.55 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot_20211031_130240-542c4387.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 85.5 | 0.33 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot_20211031_130534-1de7c6d3.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/cub/maml_resnet12_1xb105_cub_5way-5shot.log.json) |


## Results on Mini-ImageNet dataset with 2000 episodes

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 46.76 | 0.42 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot_20211104_072004-02e6c7a7.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 63.88 | 0.39 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot_20211104_072004-4c336eec.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 57.4 | 0.47 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot_20211104_105317-d1628e14.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 72.42 | 0.38 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot_20211104_105516-13547c7b.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot.log.json) |
| [conv4](/configs/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 46.76 | 0.42 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot_20211104_072004-02e6c7a7.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 63.88 | 0.39 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot_20211104_072004-4c336eec.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_conv4_1xb105_mini-imagenet_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 57.4 | 0.47 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot_20211104_105317-d1628e14.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 72.42 | 0.38 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot_20211104_105516-13547c7b.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/mini_imagenet/maml_resnet12_1xb105_mini-imagenet_5way-5shot.log.json) |


## Results on Tiered-ImageNet dataset with 2000 episodes

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 45.56 | 0.49 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot_20211104_110055-a08f6d09.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 60.2 | 0.43 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot_20211104_110734-88a559bc.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 57.63 | 0.53 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot_20211104_115442-340cb23f.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 72.3 | 0.43 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot_20211104_115442-95920719.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot.log.json) |
| [conv4](/configs/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 45.56 | 0.49 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot_20211104_110055-a08f6d09.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 60.2 | 0.43 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot_20211104_110734-88a559bc.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_conv4_1xb105_tiered-imagenet_5way-5shot.log.json) |
| [resnet12](/configs/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 57.63 | 0.53 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot_20211104_115442-340cb23f.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 72.3 | 0.43 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot_20211104_115442-95920719.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/maml/tiered_imagenet/maml_resnet12_1xb105_tiered-imagenet_5way-5shot.log.json) |
25 changes: 13 additions & 12 deletions configs/classification/matching_net/README.md
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Expand Up @@ -71,31 +71,32 @@ python ./tools/classification/test.py \
feel free to tone and try different configurations.
For example, try different learning rate or validation episodes for each setting.
Anyway, we will continue to improve it.
- The training batch size is calculated by `num_support_way` * (`num_support_shots` + `num_query_shots`)


## Results on CUB dataset with 2000 episodes

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 63.65 | 0.5 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot_20211120_100611-dfc09deb.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 76.88 | 0.39 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 78.33 | 0.45 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot_20211120_100611-d396459d.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 88.98 | 0.26 | ⇑ | ⇑ |
| [conv4](/configs/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 63.65 | 0.5 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot_20211120_100611-dfc09deb.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/cub/matching-net_conv4_1xb105_cub_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 76.88 | 0.39 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 78.33 | 0.45 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot_20211120_100611-d396459d.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/cub/matching-net_resnet12_1xb105_cub_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 88.98 | 0.26 | ⇑ | ⇑ |

## Results on Mini-ImageNet dataset with 2000 episodes

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 53.35 | 0.44 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot_20211120_100611-cfc24845.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 66.3 | 0.38 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 59.3 | 0.45 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot_20211120_100611-62e83016.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 72.63 | 0.36 | ⇑ | ⇑ |
| [conv4](/configs/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 53.35 | 0.44 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot_20211120_100611-cfc24845.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/mini_imagenet/matching-net_conv4_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 66.3 | 0.38 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 59.3 | 0.45 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot_20211120_100611-62e83016.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/mini_imagenet/matching-net_resnet12_1xb105_mini-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 72.63 | 0.36 | ⇑ | ⇑ |

## Results on Tiered-ImageNet dataset with 2000 episodes

| Arch | Input Size | Batch Size | way | shot | mean Acc | std | ckpt | log |
| :-------------- | :-----------: | :------: | :------: | :------: | :------: | :------: |:------: |:------: |
| [conv4](/configs/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 48.20 | 0.48 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot_20211120_100611-e70e9548.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 61.19 | 0.43 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 64 | 5 | 1 | 58.97 | 0.52 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot_20211120_100611-90c3124c.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 64 | 5 | 5 | 72.1 | 0.45 | ⇑ | ⇑ |
| [conv4](/configs/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 48.20 | 0.48 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot_20211120_100611-e70e9548.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [conv4](/configs/classification/matching_net/tiered_imagenet/matching-net_conv4_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 61.19 | 0.43 | ⇑ | ⇑ |
| [resnet12](/configs/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot.py) | 84x84 | 105 | 5 | 1 | 58.97 | 0.52 | [ckpt](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot_20211120_100611-90c3124c.pth) | [log](https://download.openmmlab.com/mmfewshot/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-1shot.log.json) |
| [resnet12](/configs/classification/matching_net/tiered_imagenet/matching-net_resnet12_1xb105_tiered-imagenet_5way-5shot.py) | 84x84 | 105 | 5 | 5 | 72.1 | 0.45 | ⇑ | ⇑ |

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