Add link to paper
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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tags:
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- image-text-retrieval
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- jepa
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- contrastive-learning
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- video-encoder
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- pytorch
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pipeline_tag: feature-extraction
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---
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# scout-eccv-x-explora
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paper on JEPA-based text-based person re-identification for the AI City Challenge Track 4 (Sim2Real).
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Code: https://github.com/abtraore/SCOUT-ECCV
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The paper's best single-model result: y-clip-v17 recipe + ExPLoRA-adapted X-encoder (partial block unfreeze + LoRA r=32 on the frozen V-JEPA2 ViT-L/16, selected via an Auto-RGN sensitivity probe) on top of a frozen CLIP-ViT-L/14 text tower.
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- **Val mAP@10**: 0.9297
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## License
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Apache 2.0 (see the source repo's LICENSE/NOTICE). This checkpoint does not redistribute any frozen
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backbone weights, which carry their own upstream licenses.
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---
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license: apache-2.0
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pipeline_tag: feature-extraction
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tags:
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- image-text-retrieval
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- jepa
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- contrastive-learning
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- video-encoder
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- pytorch
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---
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# scout-eccv-x-explora
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paper on JEPA-based text-based person re-identification for the AI City Challenge Track 4 (Sim2Real).
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Code: https://github.com/abtraore/SCOUT-ECCV
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Paper: [SCOUT: Sim-to-Real Text-Based Person Retrieval by Embedding-Space Prediction over Frozen Video Features](https://huggingface.co/papers/2609.19483)
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The paper's best single-model result: y-clip-v17 recipe + ExPLoRA-adapted X-encoder (partial block unfreeze + LoRA r=32 on the frozen V-JEPA2 ViT-L/16, selected via an Auto-RGN sensitivity probe) on top of a frozen CLIP-ViT-L/14 text tower.
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- **Val mAP@10**: 0.9297
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## License
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Apache 2.0 (see the source repo's LICENSE/NOTICE). This checkpoint does not redistribute any frozen
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backbone weights, which carry their own upstream licenses.
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