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