Partial person re-identification using a pose-guided alignment network with mask learning
Author:
Funder
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/s10489-021-02928-9.pdf
Reference42 articles.
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3. Zhao H, Tian M, Sun S, Shao J, Yan J, Yi S, Wang X, Tang X (2017) Spindle net: Person re-identification with human body region guided feature decomposition and fusion. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1077–1085
4. Kalayeh MM, Basaran E, Gökmen M, Kamasak ME, Shah M (2018) Human semantic parsing for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1062–1071
5. Sun Y, Zheng L, Yang Y, Tian Q, Wang S (2018) Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline). In: Proceedings of the European Conference on Computer Vision (ECCV), pp 480–496
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1. POSNet: a hybrid deep learning model for efficient person re-identification;The Journal of Supercomputing;2023-03-22
2. Occluded Person Re-Identification With Pose Estimation Correction and Feature Reconstruction;IEEE Access;2023
3. Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism;Journal of Electrical and Computer Engineering;2022-05-19
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