Infrared Pedestrian Detection Method Based on Attention Model
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1134/S1054661821040271.pdf
Reference27 articles.
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2. X. Bai, Y. Wang, H. Liu, and S. Guo, “Symmetry information based fuzzy clustering for infrared pedestrian segmentation,” IEEE Trans. Fuzzy Syst. 26, 1946–1959 (2018). https://doi.org/10.1109/TFUZZ.2017.2756827
3. Y. Cai, Z. Liu, H. Wang, and X. Sun, “Saliency-based pedestrian detection in far infrared images,” IEEE Access 5, 5013–5019 (2017). https://doi.org/10.1109/ACCESS.2017.2695721
4. S. Chaudhary and S. Murala, “Depth-based end-to-end deep network for human action recognition,” IET Comput. Vision 13, 15–22 (2018). https://doi.org/10.1049/iet-cvi.2018.5020
5. H. Chen, G. Ding, Z. Lin, S. Zhao, and J. Han, “Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning,” in Proc. Twenty-Seventh Int. Joint Conf. on Artificial Intelligence, Stockholm, 2018, Ed. by J. Lang (Int. Joint Conf. on Artificial Intelligence, 2018), pp. 606–612.
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