PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map

PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map

21 April 2022

Chen Tang

Wei Zhan

Papers citing "PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map"

9 / 9 papers shown

Title
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting Ryo Fujii Hideo Saito Ryo Hachiuma AI4TS 104 1 0 26 Nov 2024
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction Yang Zhou Hao Shao Letian Wang Steven L. Waslander Hongsheng Li Yu Liu 32 2 0 11 Oct 2024
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection P. Jacobson Yichen Xie Mingyu Ding Chenfeng Xu M. Tomizuka Wei Zhan Ming C. Wu 27 0 0 17 Sep 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory Daehee Park Jaeseok Jeong Sung-Hoon Yoon Jaewoo Jeong Kuk-Jin Yoon TTA 27 10 0 15 Mar 2024
RedMotion: Motion Prediction via Redundancy Reduction Royden Wagner Ömer Sahin Tas Marvin Klemp Carlos Fernandez Lopez Christoph Stiller 44 6 0 19 Jun 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Guan-Hong Chen Zhenhao Chen Shunxing Fan Kun Zhang 13 22 0 09 Apr 2023
Exploiting map information for self-supervised learning in motion forecasting Caio Azevedo Thomas Gilles S. Sabatini D. Tsishkou SSL 42 9 0 10 Oct 2022
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data A. Laddha Shivam Gautam Stefan Palombo Shreyash Pandey Carlos Vallespi-Gonzalez 3DPC 81 29 0 21 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020