The KITTI Vision Benchmark Suite

The method tackles the association issue for long-
term tracking with the exclusive fully-exploited
motion information. We address the tracklet
embedding issue with the proposed reconstruct-to-
embed strategy based on deep graph convolutional
neural networks (GCN)

See manuscript

@inproceedings{wang2021track,
title={Track without Appearance: Learn Box and
Tracklet Embedding with Local and Global Motion
Patterns for Vehicle Tracking},
author={Wang, Gaoang and Gu, Renshu and Liu,
Zuozhu and Hu, Weijie and Song, Mingli and Hwang,
Jenq-Neng},
booktitle={Proceedings of the IEEE/CVF
International Conference on Computer Vision
(ICCV)},
pages={9876--9886},
year={2021}
}