Multi-object tracking with self-supervised associating network

no code implementations • 26 Oct 2020 • Tae-young Chung, Heansung Lee, Myeong Ah Cho, Suhwan Cho, Sangyoun Lee

So in this paper, we propose a novel self-supervised learning method using a lot of short videos which has no human labeling, and improve the tracking performance through the re-identification network trained in the self-supervised manner to solve the lack of training data problem.

Multi-Object Tracking Object +1