most citedExploiting map information for self-supervised learning in motion forecasting

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 4 cited

Exploiting map information for self-supervised learning in motion forecasting

Caio Azevedo, Thomas Gilles, Stefano Sabatini +1

Inspired by recent developments regarding the application of self-supervised learning (SSL), we devise an auxiliary task for trajectory prediction that takes advantage of map-only…