[CVPR'20 Workshop on Scalability in Autonomous Driving] INTERPRET Challenge

CVPR 2020

[CVPR'20 Workshop on Scalability in Autonomous Driving] INTERPRET Challenge

Jun 18, 2020
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Talks given on 2020-06-15. 0:00 - Introduction by Wei Zhan, UC Berkeley 15:52 - Winner 1 by Xiaosong Jia, Shanghai Jiao Tong University 28:17 - Winner 2 by Yaofeng Sun, Peking University It is a consensus in both academia and industry that behavior prediction is one of the most challenging problems blocking the realization of fully autonomous vehicles. One of the reasons is the lack of benchmarks and appropriate evaluation metrics. Therefore, we organize a prediction challenge based on the INTERACTION dataset, i.e., the INTERACTION-Dataset-based PREdicTion Challenge (INTERPRET) which offers multiple evaluation metrics. The first round of the competition includes three tracks: a regular track, a data-efficiency track, and a transfer learning track. Participants are welcome to attend competitions via multiple tracks. For more details, please visit the challenge website at http://challenge.interaction-dataset.com/prediction-challenge.

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