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AR-X/SemanticSTF

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The declared licence (mit) is classified as permissive.

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Citation text from the card

@inproceedings{xiao20233d,
  title={3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds},
  author={Xiao, Aoran and Huang, Jiaxing and Xuan, Weihao and Ren, Ruijie and Liu, Kangcheng and Guan, Dayan and El Saddik, Abdulmotaleb and Lu, Shijian and Xing, Eric P},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={9382--9392},
  year={2023}
}

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dataset_licence({ "id": "AR-X/SemanticSTF" })
signal: "permissive"
stated_licence: "mit"
sources: 0