2020
Learning Multi-Object Tracking and Segmentation From Automatic Annotations
CVPR 2020poster
In this work we contribute a novel pipeline to automatically generate training data, and to improve over state-of-the-art multi-object tracking and segmentation (MOTS) methods. Our proposed track mining algorithm turns raw street-level videos into high-fidelity MOTS training data, is scalable and ov…