Dual-Branch Enhanced Network for Change Detection-Reference-Cited by-同舟云学术

Dual-Branch Enhanced Network for Change Detection

Published:2021-11-15 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Zhang Hongrui,Qu Shaocheng^ORCID,Li Huan

Funder

the Self-Determined Research Funds of Central China Normal University (CCNU) from the Colleges’ Basic Research and Operation of the Ministry of Education

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-021-06306-y.pdf

Reference58 articles.

1. Wang, T: Spatio-temporal point process for multiple object tracking. IEEE Trans. Neur. Net Lear. 1–12 (2020)

2. Wu, Y.; Lim, T.; Yang, M.: Object tracking benchmark. IEEE Trans. Pattern Anal. 37(9), 1834–1848 (2015)

3. Zhang, H.; Qu, S.; Li, H.; Luo, J.; Xu, W.: A moving shadow elimination method based on fusion of multi-feature. IEEE Access 8, 63971–63982 (2020)

4. Jiang, G., Jiang, X., Fang, Z., Chen, S.: An efficient attention module for 3d convolutional neural networks in action recognition. Appl. Intell. 1–15 (2021)

5. Cai, Y.; Liu, J.; Guo, Y.; Hu, S.; Lang, S.: Video anomaly detection with multi-scale feature and temporal information fusion. Neurocomputing 423, 264–273 (2021)

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