BePo: Dual Representation for 3D Occupancy Prediction
arXiv:2506.07002v2 Announce Type: replace
Abstract: 3D occupancy infers fine-grained 3D geometry and semantics which is critical for autonomous driving. Most existing approaches carry high compute costs, requiring dense 3D feature volume and cross-att…