unicorn_track_large_mot_challenge_mask
Table of Contents
<model_details>
Model Details
Unicorn accomplishes the great unification of the network architecture and the learning paradigm for four tracking tasks. Unicorn puts forwards new state-of-the-art performance on many challenging tracking benchmarks using the same model parameters. This model has an input size of 800x1280.
- License: This model is licensed under the MIT license
- Resources for more information:
</model_details>
Uses
Direct Use
This model can be used for:
- Single Object Tracking (SOT)
- Multiple Object Tracking (MOT)
- Video Object Segmentation (VOS)
- Multi-Object Tracking and Segmentation (MOTS)
This model can simultaneously deal with SOT, MOT17, VOS, and MOTS Challenge
<Eval_Results>
Evaluation Results
MOT17 MOTA (%): 77.2 MOTS sMOTSA (%): 65.3
</Eval_Results>
Citation Information
@inproceedings{unicorn,
title={Towards Grand Unification of Object Tracking},
author={Yan, Bin and Jiang, Yi and Sun, Peize and Wang, Dong and Yuan, Zehuan and Luo, Ping and Lu, Huchuan},
booktitle={ECCV},
year={2022}
}