/Winner_ECCV20_TAO

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking

Primary LanguagePythonApache License 2.0Apache-2.0

Code for the winner of TAO 2020

Note:

This repo is NOT a fully reinplementation of our submitted result(mAP@27.46).

Instead, two models for appearance modeling are included, together with the open-source BAGS model and the full set of code for inference. With this code, you can achieve around mAP@23 with TAO test set (based on our estimation).

Start from here:

Please find instructions for the detection model in tao_detection_release/README.md and the tracking model in tao_tracking_release/README.md

Result file:

The result for the TAO validation set can be downloaded in TAO_val.

License

Apache 2.0

Citation

If you find this code useful, please cite our arxiv tech report:

@article{Du_2020_TAO,
author = {Fei Du and Bo Xu and Jiasheng Tang and Yuqi Zhang and Fan Wang and Hao Li},
title = {1st Place Solution to {ECCV-TAO-2020:} Detect and Represent Any Object for Tracking},
journal = {arXiv preprint arXiv: 2101.08040},
year = {2021},
url = {https://arxiv.org/abs/2101.08040}
}