Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving

no code implementations • CVPR 2023 • Ruibo Li, Hanyu Shi, Ziang Fu, Zhe Wang, Guosheng Lin

To this end, we propose a two-stage weakly supervised approach, where the segmentation model trained with the incomplete binary masks in Stage1 will facilitate the self-supervised learning of the motion prediction network in Stage2 by estimating possible moving foregrounds in advance.

Autonomous Driving motion prediction +2