3rd Place Solution for NeurIPS 2021 Shifts Challenge: Vehicle Motion Prediction

12/02/2021
by   Ching-Yu Tseng, et al.
0

Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift is a competition held by NeurIPS 2021. The objective of this competition is to search for methods to solve the motion prediction problem in cross-domain. In the real world dataset, It exists variance between input data distribution and ground-true data distribution, which is called the domain shift problem. In this report, we propose a new architecture inspired by state of the art papers. The main contribution is the backbone architecture with self-attention mechanism and predominant loss function. Subsequently, we won 3rd place as shown on the leaderboard.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset