metadata
license: apache-2.0
KAT-ReID – MSMT17
Model Details
- Model name: KAT-ReID (MSMT17)
- Task: Large-scale Person Re-Identification
- Dataset: MSMT17
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.
Training Data
- Identities: 4,101
- Images: 126,441
- Cameras: 15
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.
Limitations
- Underfits global appearance cues
- Requires further regularization and longer warm-up
- Sensitive to large domain shifts
Citation
@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}
}