RoboBEV
Introduced by Xie et al. in RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions
RoboBEV is a robustness evaluation benchmark tailored for camera-based bird's eye view (BEV) perception under natural data corruptions and domain shift. It includes eight distinct corruptions, including Bright, Dark, Fog, Snow, Motion Blur, Color Quant, Camera Crash, and Frame Lost.
Source: RoboBEV: Towards Robust Bird's Eye View Perception under CorruptionsPapers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
