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\[NeurIPS 2024\] CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
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Checkpoints of best backbone (+CHASE) for each benchmark:
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- NTU Mutual 11 (XSub): STSA-Net (+CHASE)
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- H2O: STSA-Net (+CHASE)
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- Assembly101 (Action): CTR-GCN (+CHASE)
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- Collective Activity: CTR-GCN (+CHASE)
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- Volleyball (Original): CTR-GCN (+CHASE)
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- accuracy
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# \[NeurIPS 2024\] CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
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ArXiv: https://arxiv.org/abs/2410.07153
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Github: https://github.com/Necolizer/CHASE
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Checkpoints of best backbone (+CHASE) for each benchmark:
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- NTU Mutual 11 (XSub): STSA-Net (+CHASE)
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- H2O: STSA-Net (+CHASE)
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- Assembly101 (Action): CTR-GCN (+CHASE)
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- Collective Activity: CTR-GCN (+CHASE)
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- Volleyball (Original): CTR-GCN (+CHASE)
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## Citation
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```
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@inproceedings{wen2024chase,
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title={CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition},
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author={Yuhang Wen and Mengyuan Liu and Songtao Wu and Beichen Ding},
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booktitle={Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS)},
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year={2024},
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}
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```
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