Cross-dataset tests show BEV segmentation models generalize poorly across datasets and sensor setups, but multi-dataset training improves performance over single-dataset baselines.
nuscenes: A multimodal dataset for autonomous driving
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
MSAM with kernels 1-11 added to UNet skip connections yields 2.32% mIoU and 2.88% mF1 gains on hyperspectral urban driving datasets.