Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Arxiv Link

Wayformer is a simple and homogeneous attention-based architecture for motion forecasting in autonomous driving scenarios. It consists of an attention-based scene encoder and decoder, focusing on early, late, and hierarchical fusion of input modalities. The architecture trades efficiency and quality through factorized attention or latent query attention.

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