ST-Occ improves 3D occupancy prediction for self-driving by storing a compact scene-level memory of past frames and conditioning current predictions on it with uncertainty-aware attention, gaining 3 mIoU over prior state of the art.
The lov \'a sz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
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Occupancy Learning with Spatiotemporal Memory
ST-Occ improves 3D occupancy prediction for self-driving by storing a compact scene-level memory of past frames and conditioning current predictions on it with uncertainty-aware attention, gaining 3 mIoU over prior state of the art.