Zero-Shot Image Classification
PerceptionEncoder
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Add pipeline tag and project URL (#1)

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- Add pipeline tag and project URL (f1ebc681f0cd27604bb96b2d8f48dbc72ae7b05d)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +5 -3
README.md CHANGED
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  ---
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- license: apache-2.0
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  library_name: perception-encoder
 
 
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  ---
 
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  # Model Details
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- [\[πŸ“ƒ Tech Report\]](https://arxiv.org/abs/2504.13181)
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- [\[πŸ“‚ Github\]](https://github.com/facebookresearch/perception_models/)
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  Perception Encoder (PE) is a state-of-the-art encoder for image and video understanding trained via simple vision-language learning. It was introduced in "[Perception Encoder: The best visual embeddings
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  are not at the output of the network](https://ai.meta.com/research/publications/perception-encoder-the-best-visual-embeddings-are-not-at-the-output-of-the-network/)".
 
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  ---
 
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  library_name: perception-encoder
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+ license: apache-2.0
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+ pipeline_tag: image-feature-extraction
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  ---
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+
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  # Model Details
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+ [\\[πŸ“ƒ Tech Report\\]](https://arxiv.org/abs/2504.13181)
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+ [\\[πŸ“‚ Github\\]](https://github.com/facebookresearch/perception_models/)
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  Perception Encoder (PE) is a state-of-the-art encoder for image and video understanding trained via simple vision-language learning. It was introduced in "[Perception Encoder: The best visual embeddings
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  are not at the output of the network](https://ai.meta.com/research/publications/perception-encoder-the-best-visual-embeddings-are-not-at-the-output-of-the-network/)".