OSTNet: overlapping splitting transformer network with integrated density loss for vehicle density estimation
Author:
Funder
Chinese Universities Scientific Fund
Shenzhen International Cooperation Research Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05641-5.pdf
Reference43 articles.
1. Li S, Chang F, Liu C (2021) Bi-directional dense traffic counting based on spatio-temporal counting feature and counting-lstm network. IEEE Trans Intell Transp Syst 22(12):7395–7407
2. Feng J, Liang Y, Zhang X, Zhang J, Jiao L (2023) Sdanet: semantic-embedded density adaptive network for moving vehicle detection in satellite videos. IEEE Trans Image Process 32:1788–1801
3. Harikrishnan P, Thomas A, Gopi VP, Palanisamy P, Wahid KA (2021) Inception single shot multi-box detector with affinity propagation clustering and their application in multi-class vehicle counting. Appl Intell 51:4714–4729
4. Aljamal MA, Abdelghaffar HM, Rakha HA (2021) Real-time estimation of vehicle counts on signalized intersection approaches using probe vehicle data. IEEE Trans Intell Transp Syst 22(5):2719–2729
5. Liu J, Kang Y, Li H, Wang H, Yang X (2023) Stghtn: Spatial-temporal gated hybrid transformer network for traffic flow forecasting. Appl Intell 53(10):12472–12488
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