BePo proposes a dual BEV and sparse-points representation with cross-attention fusion for more accurate and efficient 3D occupancy prediction on autonomous driving benchmarks.
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BePo: Dual Representation for 3D Occupancy Prediction
BePo proposes a dual BEV and sparse-points representation with cross-attention fusion for more accurate and efficient 3D occupancy prediction on autonomous driving benchmarks.