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# BridgeTower base-itm model
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The BridgeTower model was proposed in [BridgeTower: Building Bridges Between Encoders in Vision-Language Representative Learning] by Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan.
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The model was pretrained model on English language using masked language modeling (MLM) and image text matching (ITM)objectives. It was introduced in
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[this paper](https://arxiv.org/pdf/2206.08657.pdf) and first released in
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[this repository](https://github.com/microsoft/BridgeTower).
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## Model description
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The abstract from the paper is the following:
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## Intended uses & limitations(TODO)
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You can use the raw model for image and text retrieval.
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### How to use
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The optimizer used was AdamW with a learning rate of 1e-5. No data augmentation was used except for center-crop. The image resolution in pre-training is set to 288 x 288.
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## Evaluation results
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### BibTeX entry and citation info
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```bibtex
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# BridgeTower base-itm-mlm model
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The BridgeTower model was proposed in [BridgeTower: Building Bridges Between Encoders in Vision-Language Representative Learning] by Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan.
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The model was pretrained model on English language using masked language modeling (MLM) and image text matching (ITM)objectives. It was introduced in
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[this paper](https://arxiv.org/pdf/2206.08657.pdf) and first released in
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[this repository](https://github.com/microsoft/BridgeTower).
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BridgeTower got accepted to [AAAI'23](https://aaai.org/Conferences/AAAI-23/).
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## Model description
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The abstract from the paper is the following:
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## Intended uses & limitations(TODO)
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### How to use
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The optimizer used was AdamW with a learning rate of 1e-5. No data augmentation was used except for center-crop. The image resolution in pre-training is set to 288 x 288.
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## Evaluation results
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Please refer to [Table 5](https://arxiv.org/pdf/2206.08657.pdf) for BridgeTower's performance on Image Retrieval and other down stream tasks.
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### BibTeX entry and citation info
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```bibtex
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