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[CVPR 2025] EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights

[πŸ“„ Paper] | [πŸ€— Dataset (AV-TAU)]


πŸ“Š Dataset: AV-TAU

We release the AV-TAU dataset to support audio-visual traffic anomaly understanding.

πŸ‘‰ Available on Hugging Face


πŸ’» Code & Pretrained Models

🚧 The EchoTraffic code and pretrained models will be released soon.
Stay tuned β€” updates will be announced here.


πŸ“‘ Citation

If you use this dataset or our paper, please cite:

@InProceedings{Xing_2025_CVPR,
    author    = {Xing, Zhenghao and Chen, Hao and Xie, Binzhu and Xu, Jiaqi and Guo, Ziyu and Xu, Xuemiao and Hao, Jianye and Fu, Chi-Wing and Hu, Xiaowei and Heng, Pheng-Ann},
    title     = {EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2025},
    pages     = {19098-19108}
}

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EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights (CVPR 2025)

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