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Partial dataset evaluation results are displayed:
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| AltCLIP-M18 | 91.1 | 77.76 | 87.9 | 74.46 | 89.53 | 81.3650.35 | 71.78 | 74.96 | 76.44 | 67.68 | 69.27 | 75.53 | 41.57 | 88.25 | 92.75 | 97.44 | 84.83 | 30.52 | 68.62 | 67.46 | 54.4 |
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```python
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# Copyright © 2022 BAAI. All rights reserved.
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Partial dataset evaluation results are displayed:
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### ImageNet
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| | ImageNet-adv | ImageNet-adv-cn | ImageNet-adv-es | ImageNet-adv-fr | ImageNet-adv-it | ImageNet-adv-jp | ImageNet-adv-ko | ImageNet-adv-ru | | ImageNet-ren | ImageNet-ren-cn | imageNet-ren-es | ImageNet-ren-fr | ImageNet-ren-it | ImageNet-ren-jp | ImageNet-ren-ko | ImageNet-ren-ru | | ImageNet-ske | ImageNet-ske-cn | ImageNet-ske-es | ImageNet-ske-fr | ImageNet-ske-it | ImageNet-ske-jp | ImageNet-ske-ko | ImageNet-ske-ru | | ImageNet-1k | ImageNet-1k-cn | ImageNet-1k-es | ImageNet-1k-fr | ImageNet-1k-it | ImageNet-1k-jp | ImageNet-1k-ko | ImageNet-1k-ru | | ImageNet-v2 | ImageNet-v2-cn | ImageNet-v2-es | ImageNet-v2-fr | ImageNet-v2-it | ImageNet-v2-jp | ImageNet-v2-ko | ImageNet-v2-ru | |
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| :---------: | :----------: | :-------------: | :-------------: | :-------------: | --------------- | --------------- | --------------- | --------------- | ---- | :----------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :--: | :----------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | ---- | ----------- | -------------- | -------------- | -------------- | -------------- | -------------- | -------------- | -------------- | ---- | ----------- | -------------- | -------------- | -------------- | -------------- | -------------- | -------------- | -------------- | ---- |
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| AltCLIP-M18 | 58 | 50.35 | 43.56 | 44.07 | 48.25 | 36.48 | 38.48 | 40.57 | | 89.53 | 81.36 | 71.78 | 74.96 | 76.44 | 67.68 | 69.27 | 75.53 | | 65.42 | 51.26 | 97.44 | 84.83 | 30.52 | 68.62 | 67.46 | 54.4 | | 76.71 | 57.12 | 54.22 | 54.84 | 52.29 | 51.71 | 53.65 | 51.53 | | 65.45 | 51.76 | 48.91 | 49.24 | 47.27 | 46.76 | 48.1 | 46.53 | |
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### 其他分类 Other classification
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| | caltech101 | cars | cifar10 | cifar100 | country211 | dtd | eurosat | fer2013 | Fgvc-aircraft | flowers | food101 | gtsrb | Hateful-memes | Kitti-distance | Mnist | pcam | pets | Renderedsst2 | Resisc45 | Voc2007 |
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| AltCLIP-M18 | 88.25 | 92.75 | 97.44 | 84.83 | 30.52 | 68.62 | 67.46 | 54.4 | 40.41 | 71.64 | 92.49 | 56.35 | 50.8 | 14.91 | 78.46 | 54.76 | 94.11 | 65.95 | 70.83 | 81.62 |
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### 检索 Retrieval
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| | Multi30k-de I2T | Multi30k-de T2I | Multi30k-en I2T | Multi30k-en T2I | Multi30k-fr I2T | Multi30k-fr I2T | Xtd-de-I2T | Xtd-de-T2I | Xtd-en-I2T | Xtd-en-T2I | Xtd-es-I2T | Xtd-es-T2I | Xtd-fr-I2T | Xtd-fr-T2I | Xtd-it-I2T | Xtd-it-T2I | Xtd-jp-I2T | Xtd-jp-T2I | Xtd-ko-I2T | Xtd-ko-T2I | Xtd-pl-I2T | Xtd-pl-T2I | Xtd-ru-I2T | Xtd-ru-T2I | Xtd-tr-I2T | Xtd-tr-T2I | Xtd-zh-I2T | Xtd-zh-T2I |
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| :---------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :-------------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | :--------: | ---------- | ---------- | ---------- | ---------- | ---------- | ---------- | ---------- |
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| AltCLIP-M18 | 84.4 | 65.82 | 91.1 | 77.76 | 74.5 | 75.4 | 64.76 | 66.57 | 72.17 | 72.67 | 65.83 | 65.03 | 67.17 | 67.47 | 66.63 | 66.03 | 58.96 | 62.96 | 61.42 | 64.43 | 67.23 | 69.14 | 60.22 | 61.02 | 65.03 | 64.23 | 64.53 | 65.43 |
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### Cifar10 dataset evaluation code
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```python
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# Copyright © 2022 BAAI. All rights reserved.
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