arXiv cs.CV
· Papers
Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs
arXiv:2606.26424v1 Announce Type: cross Abstract: Trajectory forecasting for autonomous driving has advanced rapidly, yet representative models often produce uninformative posteriors over forecast modes, causing problems for mode pruning. We trace this to a modeling-training mismatch: forecasters are typically modeled