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| license: apache-2.0 |
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| # KAT-ReID – MSMT17 |
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| ## Model Details |
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| * **Model name:** KAT-ReID (MSMT17) |
| * **Task:** Large-scale Person Re-Identification |
| * **Dataset:** MSMT17 |
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| ## Model Description |
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| 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 |
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| * **Identities:** 4,101 |
| * **Images:** 126,441 |
| * **Cameras:** 15 |
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| ## Evaluation Results |
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| | Metric | Score | |
| | ------- | ----- | |
| | mAP | 38.8 | |
| | Rank-1 | 61.5 | |
| | Rank-5 | 76.6 | |
| | 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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| ## Limitations |
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| * Underfits global appearance cues |
| * Requires further regularization and longer warm-up |
| * Sensitive to large domain shifts |
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| ## Citation |
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| ```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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