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## Model Description
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- **Homepage:** https://imirandam.github.io/BiVLC_project_page/
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- **Repository:** https://github.com/IMirandaM/BiVLC
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- **Paper:**
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- **Point of Contact:** [Imanol Miranda](mailto:imanol.miranda@ehu.eus)
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### Model Summary
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CLIP_COCO is a model presented in the [BiVLC](https://github.com/IMirandaM/BiVLC) paper for experimentation. It has been fine-tuned with OpenCLIP framework using as basis the CLIP ViT-B-32 model pre-trained by 'openai'. The idea behind this fine-tuning is to have a baseline to compare the [CLIP_TROHN-Text](https://huggingface.co/imirandam/CLIP_TROHN-Text) and [CLIP_TROHN-Img](https://huggingface.co/imirandam/CLIP_TROHN-Img) models. Hyperparameters:
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## Model Description
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- **Homepage:** https://imirandam.github.io/BiVLC_project_page/
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- **Repository:** https://github.com/IMirandaM/BiVLC
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- **Paper:** https://arxiv.org/abs/2406.09952
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- **Point of Contact:** [Imanol Miranda](mailto:imanol.miranda@ehu.eus)
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### Model Summary
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CLIP_COCO is a model presented in the [BiVLC](https://github.com/IMirandaM/BiVLC) paper for experimentation. It has been fine-tuned with OpenCLIP framework using as basis the CLIP ViT-B-32 model pre-trained by 'openai'. The idea behind this fine-tuning is to have a baseline to compare the [CLIP_TROHN-Text](https://huggingface.co/imirandam/CLIP_TROHN-Text) and [CLIP_TROHN-Img](https://huggingface.co/imirandam/CLIP_TROHN-Img) models. Hyperparameters:
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