BEV-Seg3D-Net

Reported on 3 benchmarks across 3 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical1 result

Semantic SegmentationonSensatUrban
mIoU· 2021-09-19
61.7
best: 63.4 (LCPFormer)
SOTA
Efficient Urban-scale Point Clouds Segmentation with BEV Projection arXiv:2109.09074

Computer Vision1 result

3D Semantic SegmentationonSensatUrban
mIoU· 2021-09-19
61.7
best: 63.4 (LCPFormer)
SOTA
Efficient Urban-scale Point Clouds Segmentation with BEV Projection arXiv:2109.09074

Audio1 result

10-shot image generationonSensatUrban
mIoU· 2021-09-19
61.7
best: 63.4 (LCPFormer)
SOTA
Efficient Urban-scale Point Clouds Segmentation with BEV Projection arXiv:2109.09074