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license: apache-2.0
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---
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license: apache-2.0
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---
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# KAT-ReID – MSMT17
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## Model Details
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* **Model name:** KAT-ReID (MSMT17)
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* **Task:** Large-scale Person Re-Identification
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* **Dataset:** MSMT17
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---
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## Model Description
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MSMT17 is a **large-scale, multi-camera ReID benchmark** with strong domain shifts.
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This model evaluates KAT-ReID under challenging illumination and camera variability.
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---
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## Training Data
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* **Identities:** 4,101
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* **Images:** 126,441
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* **Cameras:** 15
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---
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## Evaluation Results
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| Metric | Score |
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| ------- | ----- |
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| mAP | 38.8 |
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| Rank-1 | 61.5 |
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| Rank-5 | 76.6 |
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| Rank-10 | 82.2 |
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Results show that KAT-ReID struggles to match ViT baselines on highly diverse large-scale datasets.
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---
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## Limitations
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* Underfits global appearance cues
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* Requires further regularization and longer warm-up
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* Sensitive to large domain shifts
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---
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## Citation
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```bibtex
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@inproceedings{umair2025katreid,
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title={KAT-ReID: Assessing the Viability of Kolmogorov--Arnold Transformers in Object Re-Identification},
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author={Umair, Muhammad and Zhou, Jun and Musaddiq, Muhammad Hammad and Muhammad, Ahmad},
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year={2025}
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}
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```
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