DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception

no code implementations • 15 Oct 2021 • Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Chen, Lin Li, Dongfang Liu

The existing MOTS studies face two critical challenges: 1) the published datasets inadequately capture the real-world complexity for network training to address various driving settings; 2) the working pipeline annotation tool is under-studied in the literature to improve the quality of MOTS learning examples.

Autonomous Driving Multi-Object Tracking +1