Exploiting map information for self-supervised learning in motion forecasting

10 October 2022

Papers citing "Exploiting map information for self-supervised learning in motion forecasting"

9 / 9 papers shown

Title
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Yang Zhou Hao Shao Letian Wang Steven Waslander Hongsheng Li Yu Liu 36 2 0 11 Oct 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models Jifeng Wang Kaouther Messaoud Yuejiang Liu Juergen Gall Alexandre Alahi 42 0 0 28 Jul 2024
Pre-training on Synthetic Driving Data for Trajectory Prediction Yiheng Li Seth Z. Zhao Chenfeng Xu Chen Tang Chenran Li Mingyu Ding M. Tomizuka Wei Zhan 40 11 0 18 Sep 2023
RMP: A Random Mask Pretrain Framework for Motion Prediction Yi Yang Qingwen Zhang Thomas Gilles Nazre Batool John Folkesson 53 5 0 16 Sep 2023
RedMotion: Motion Prediction via Redundancy Reduction Royden Wagner Omer Sahin Tas Marvin Klemp Carlos Fernandez Lopez Christoph Stiller 46 6 0 19 Jun 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen Jiaze Wang Kun Shao Furui Liu Jianye Hao Chenyong Guan Guangyong Chen Pheng-Ann Heng 57 38 0 12 Mar 2023
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 42 55 0 28 Jun 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 124 115 0 24 Aug 2020