Person re-identification from text to image based on mutual teaching

Chengjian Mo

doi:10.1117/12.2646862

7 September 2022 Person re-identification from text to image based on mutual teaching

Chengjian Mo

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232927 (2022) https://doi.org/10.1117/12.2646862
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Text-based cross-modal person re-identification refers to the retrieval of the corresponding identity image in the pedestrian image set through the linguistic description of the pedestrian. Aiming at the problem that there is no interaction between the image-text feature extraction branch, we propose a text-to-image person re-identification method based on mutual teaching. The proposed method adds interactive operation in the image text feature extraction part to make the image and text information respectively guide the feature extraction of another modality, which realizes the information transfer between image and text modalities to close the distance between two modalities. The method is experimentally verified on the CUHK-PEDES dataset. The experimental results show the effectiveness and superiority of the proposed method.

Citation Download Citation

Chengjian Mo "Person re-identification from text to image based on mutual teaching", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232927 (7 September 2022); https://doi.org/10.1117/12.2646862

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KEYWORDS

Feature extraction

Image retrieval

Performance modeling

Image classification

Visualization

Computer programming

Lithium

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