SB-BEVFusion introduces a framework-agnostic module that improves 3D object detection robustness when camera or LiDAR inputs are missing or corrupted, outperforming prior unified BEV approaches on the MultiCorrupt dataset.
Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions
SB-BEVFusion introduces a framework-agnostic module that improves 3D object detection robustness when camera or LiDAR inputs are missing or corrupted, outperforming prior unified BEV approaches on the MultiCorrupt dataset.