HAMF feeds learnable future motion tokens into the scene encoder alongside road and agent tokens, then uses a Mamba decoder to output six diverse trajectories, achieving competitive Argoverse 2 results with 3.0M parameters.
Forecast-mae: Self-supervised pre- training for motion forecasting with masked autoencoders,
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HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning
HAMF feeds learnable future motion tokens into the scene encoder alongside road and agent tokens, then uses a Mamba decoder to output six diverse trajectories, achieving competitive Argoverse 2 results with 3.0M parameters.