Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion
Forecasting Models

Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models

28 July 2024

Kaouther Messaoud

Alexandre Alahi

Papers citing "Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models"

7 / 7 papers shown

Title
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 37 11 0 18 Sep 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
Exploiting map information for self-supervised learning in motion forecasting Caio Azevedo Thomas Gilles S. Sabatini D. Tsishkou SSL 44 9 0 10 Oct 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 39 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
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 183 21,813 0 09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016