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README.md
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@@ -46,4 +46,11 @@ probs = torch.sigmoid(logits_per_image)
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```python
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>>> probs
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tensor([[0.0038, 0.0429, 0.8294, 0.9787, 0.9816, 0.9990]])
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```
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```python
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>>> probs
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tensor([[0.0038, 0.0429, 0.8294, 0.9787, 0.9816, 0.9990]])
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```
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## MS-COCO Caption Evaluation
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| Model | Parameter Size | (En) I-T Recall@1 | (En) T-I Recall@1 | (Ko) I-T Recall@1 | (Ko) T-I Recall@1 |
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|---|---|---|---|---|---|
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| google/siglip2-base-patch16-224 | 375,187,970 | 65.20% | 48.29% | 45.68% | 25.44% |
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| google/siglip2-so400m-patch14-384 | 1,136,008,498 | 67.74% | 52.04% | 52.36% | 31.59% |
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| siglip2-base-patch16-224-ko | 375,187,970 | 65.54% | 47.99% | 57.24% | 36.55% |
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