OVBEVSeg enables open-vocabulary BEV segmentation via 2D-to-BEV pseudo-labeling, joint per-scene optimization, and 3D distillation, outperforming closed-set methods by 15.3 mIoU on unseen nuScenes categories while using less memory and running faster.
CoRRabs/2410.05111(2024)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints
OVBEVSeg enables open-vocabulary BEV segmentation via 2D-to-BEV pseudo-labeling, joint per-scene optimization, and 3D distillation, outperforming closed-set methods by 15.3 mIoU on unseen nuScenes categories while using less memory and running faster.