A two-stage progressive shadow removal network
Author:
Funder
The National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04856-2.pdf
Reference53 articles.
1. Sanches SR, Oliveira C, Sementille AC et al (2019) Challenging situations for background subtraction algorithms. Appl Intell 49:1771–1784
2. Zou Q, Jiang H, Dai Q et al (2019) Robust lane detection from continuous driving scenes using deep neural networks. IEEE Trans Veh Technol 69(1):41–54
3. Yuan X, Li D, Mohapatra D et al (2018) Automatic removal of complex shadows from indoor videos using transfer learning and dynamic thresholding. Comput Electr Eng 70:813–825
4. Yu X, Tian X (2022) A fault detection algorithm for pipeline insulation layer based on immune neural network. Int J Press Vessel Pip 196(104):611
5. Yu X, Ye X, Zhang S (2022) Floating pollutant image target extraction algorithm based on immune extremum region. Digit Signal Proc 123(103):442
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