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@@ -8,6 +8,7 @@ tags:
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  - pytorch_model_hub_mixin
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  - model_hub_mixin
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  pipeline_tag: zero-shot-image-classification
 
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  ---
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  ## Official implementation of fine-tuned ViT-H/14 ProLIP on DataComp 1B
@@ -68,11 +69,20 @@ print("Image uncertainty: ", i_unc)
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  print("Text uncertainty: ", t_unc)
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  ```
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- ```
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- @article{chun2024prolip,
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- title={Probabilistic Language-Image Pre-Training},
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- author={Chun, Sanghyuk and Kim, Wonjae and Park, Song and Yun, Sangdoo},
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- journal={arXiv preprint arXiv:2410.18857},
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- year={2024}
 
 
 
 
 
 
 
 
 
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  }
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  ```
 
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  - pytorch_model_hub_mixin
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  - model_hub_mixin
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  pipeline_tag: zero-shot-image-classification
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+ library_name: prolip
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  ---
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  ## Official implementation of fine-tuned ViT-H/14 ProLIP on DataComp 1B
 
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  print("Text uncertainty: ", t_unc)
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  ```
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{chun2025prolip,
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+ title={Probabilistic Language-Image Pre-Training},
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+ author={Chun, Sanghyuk and Kim, Wonjae and Park, Song and Yun, Sangdoo},
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+ year={2025},
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+ booktitle={International Conference on Learning Representations (ICLR)},
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+ }
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+
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+ @inproceedings{chun2025longprolip,
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+ title={LongProLIP: A Probabilistic Vision-Language Model with Long Context Text},
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+ author={Chun, Sanghyuk and Yun, Sangdoo},
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+ year={2025},
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+ booktitle={ICLR Workshop on Quantify Uncertainty and Hallucination in Foundation Models},
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  }
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  ```