%0 Journal Article %1 journals/tits/ChenPYZW24 %A Chen, Junzhou %A Pu, Jiajun %A Yin, Baiqiao %A Zhang, Ronghui %A Wu, Jun Jie %D 2024 %J IEEE Trans. Intell. Transp. Syst. %K dblp %N 9 %P 12372-12384 %T TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction. %U http://dblp.uni-trier.de/db/journals/tits/tits25.html#ChenPYZW24 %V 25

@article{journals/tits/ChenPYZW24, added-at = {2024-09-20T00:00:00.000+0200}, author = {Chen, Junzhou and Pu, Jiajun and Yin, Baiqiao and Zhang, Ronghui and Wu, Jun Jie}, biburl = {https://www.bibsonomy.org/bibtex/26651350efcef1615a15467fce21f63f5/dblp}, ee = {https://doi.org/10.1109/TITS.2024.3365820}, interhash = {8ea9b93763e5357fab677219c6365187}, intrahash = {6651350efcef1615a15467fce21f63f5}, journal = {IEEE Trans. Intell. Transp. Syst.}, keywords = {dblp}, month = {September}, number = 9, pages = {12372-12384}, timestamp = {2024-09-23T07:08:40.000+0200}, title = {TA-NET: Empowering Highly Efficient Traffic Anomaly Detection Through Multi-Head Local Self-Attention and Adaptive Hierarchical Feature Reconstruction.}, url = {http://dblp.uni-trier.de/db/journals/tits/tits25.html#ChenPYZW24}, volume = 25, year = 2024 }