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license: apache-2.0
---
# 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}
}
```