Traffic Scene Similarity: a Graph-based Contrastive Learning Approach

Traffic Scene Similarity: a Graph-based Contrastive Learning Approach

18 September 2023

Maximilian Zipfl

J. Marius Zöllner

Papers citing "Traffic Scene Similarity: a Graph-based Contrastive Learning Approach"

4 / 4 papers shown

Title
Structure-preserving contrastive learning for spatial time series Yiru Jiao Sander van Cranenburgh Simeon C. Calvert H. Lint AI4TS 140 0 0 10 Feb 2025
Towards Traffic Scene Description: The Semantic Scene Graph Maximilian Zipfl J. Marius Zöllner 3DV 46 21 0 19 Nov 2021
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification Friedrich Kruber Jonas Wurst Eduardo Sánchez Morales S. Chakraborty M. Botsch 20 26 0 05 Apr 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 154 9,409 0 09 Feb 2018