1 code implementation • 20 Sep 2022 • Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
In view of this, we propose a new goal area-based framework, named Goal Area Network (GANet), for motion forecasting, which models goal areas rather than exact goal coordinates as preconditions for trajectory prediction, performing more robustly and accurately.
Ranked #15 on Motion Forecasting on Argoverse CVPR 2020
no code implementations • 5 Jun 2019 • Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li
In order to optimize models and meet the requirement mentioned above, we propose a method that replaces the fully-connected layers of convolution neural network models with a tree classifier.
no code implementations • 4 Jun 2019 • Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao
In image classification, Convolutional Neural Network(CNN) models have achieved high performance with the rapid development in deep learning.