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Exploiting map information for self-supervised learning in motion
  forecasting

Exploiting map information for self-supervised learning in motion forecasting

10 October 2022
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
    SSL
ArXivPDFHTML

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

5 / 5 papers shown
Title
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven L. Waslander
Hongsheng Li
Yu Liu
26
2
0
11 Oct 2024
RedMotion: Motion Prediction via Redundancy Reduction
RedMotion: Motion Prediction via Redundancy Reduction
Royden Wagner
Ömer Sahin Tas
Marvin Klemp
Carlos Fernandez Lopez
Christoph Stiller
39
6
0
19 Jun 2023
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
34
54
0
28 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
111
115
0
24 Aug 2020
1