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Update README.md
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README.md
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metrics:
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- recall
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---
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# CCRK: Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
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About pretraining datasets, `zh,ja,de,fr,cs` texts in `cc3m` are translated by [UC2](https://github.com/zmykevin/UC2) while `zh,ja,de,fr,cs` texts in `sbu/coco/vg` are translated by [CCLM](https://github.com/zengyan-97/CCLM). For other languages `id,es,ru,tr`, we use `m2m_100_1.2B` model developed by [Meta AI](https://ai.facebook.com/research/) and [EasyNMT](https://github.com/UKPLab/EasyNMT) as a tool to translate all datasets from English.
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Thanks for their great jobs!
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- es
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metrics:
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- recall
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pipeline_tag: visual-question-answering
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---
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# CCRK: Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
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About pretraining datasets, `zh,ja,de,fr,cs` texts in `cc3m` are translated by [UC2](https://github.com/zmykevin/UC2) while `zh,ja,de,fr,cs` texts in `sbu/coco/vg` are translated by [CCLM](https://github.com/zengyan-97/CCLM). For other languages `id,es,ru,tr`, we use `m2m_100_1.2B` model developed by [Meta AI](https://ai.facebook.com/research/) and [EasyNMT](https://github.com/UKPLab/EasyNMT) as a tool to translate all datasets from English.
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Thanks for their great jobs!
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