CVLGAug 18, 2022

Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations

arXiv:2208.09284v1h-index: 5Has Code
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This is an incremental reproducibility effort for researchers in machine learning and robotics, focusing on motion prediction.

This paper reproduces a prior study on contrastive learning for socially-aware motion representations, verifying the original results and reimplementing the code in PyTorch Lightning.

The following paper is a reproducibility report for "Social NCE: Contrastive Learning of Socially-aware Motion Representations" {\cite{liu2020snce}} published in ICCV 2021 as part of the ML Reproducibility Challenge 2021. The original code was made available by the author \footnote{\href{https://github.com/vita-epfl/social-nce}{https://github.com/vita-epfl/social-nce}}. We attempted to verify the results claimed by the authors and reimplemented their code in PyTorch Lightning.

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