Accident-CLIP: Text-Video Benchmarking for Fine-Grained Accident Classification in Driving Scenes
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1087-4_46
Reference26 articles.
1. Fang, J., Qiao, J., Bai, J., Hongkai, Yu., Xue, J.: Traffic accident detection via self-supervised consistency learning in driving scenarios. IEEE Trans. Intell. Transp. Syst. 23(7), 9601–9614 (2022)
2. Le, Yu., Bowen, D., Xiao, H., Sun, L., Han, L., Lv, W.: Deep spatio-temporal graph convolutional network for traffic accident prediction. Neurocomputing 423, 135–147 (2021)
3. Bao, W., Yu, Q., Kong, Y.: Uncertainty-based traffic accident anticipation with spatio-temporal relational learning. In: ACM MM, pp. 2682–2690 (2020)
4. You, T., Han, B.: Traffic accident benchmark for causality recognition. In: ECCV, pp. 540–556 (2020)
5. Yao, Y., et al.: Dota: unsupervised detection of traffic anomaly in driving videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 444–459 (2023)
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