Cite
Multi-Scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic Segmentation.
MLA
Xie, Bangquan, et al. “Multi-Scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic Segmentation.” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, Aug. 2022, pp. 12622–32. EBSCOhost, https://doi.org/10.1109/TITS.2021.3115705.
APA
Xie, B., Yang, Z., Yang, L., Luo, R., Wei, A., Weng, X., & Li, B. (2022). Multi-Scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic Segmentation. IEEE Transactions on Intelligent Transportation Systems, 23(8), 12622–12632. https://doi.org/10.1109/TITS.2021.3115705
Chicago
Xie, Bangquan, Zongming Yang, Liang Yang, Ruifa Luo, Ailin Wei, Xiaoxiong Weng, and Bing Li. 2022. “Multi-Scale Fusion With Matching Attention Model: A Novel Decoding Network Cooperated With NAS for Real-Time Semantic Segmentation.” IEEE Transactions on Intelligent Transportation Systems 23 (8): 12622–32. doi:10.1109/TITS.2021.3115705.