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ika-rwth-aachen / MultiCorrupt

MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.
MIT License
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Evaluate AutoAlignV2 #3

Open TillBeemelmanns opened 1 month ago

TillBeemelmanns commented 1 month ago

https://github.com/zehuichen123/AutoAlignV2

@article{chen2022autoalignv2,
  title={AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection},
  author={Chen, Zehui and Li, Zhenyu and Zhang, Shiquan and Fang, Liangji and Jiang, Qinhong and Zhao, Feng},
  journal={ECCV},
  year={2022}
}