3 citations · 3 across the 4 of their papers we have counts for
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cs.CV2023
Self-Supervised Multi-Object Tracking For Autonomous Driving From Consistency Across Timescales
Christopher Lang, Alexander Braun, Lars Schillingmann +1
Self-supervised multi-object trackers have tremendous potential as they enable learning from raw domain-specific data. However, their re-identification accuracy still falls short c…
cs.CV2023★ 3 cited
Self-Supervised Representation Learning from Temporal Ordering of Automated Driving Sequences
Christopher Lang, Alexander Braun, Lars Schillingmann +2
Self-supervised feature learning enables perception systems to benefit from the vast raw data recorded by vehicle fleets worldwide. While video-level self-supervised learning appro…