Channel decoupling network for cross-modality person re-identification-Reference-Cited by-同舟云学术

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Channel decoupling network for cross-modality person re-identification

Published:2022-09-29 Issue:9 Volume:82 Page:14091-14105
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Chen Jingying,Chen Chang,Tan Lei,Peng Shixin^ORCID

Funder

National Natural Science Foundation of China

the MOE (Ministry of Education in China) Project of Humanities and Social Sciences

Natural Science Foundation of Hubei Province

China Postdoctoral Science Foundation

Hubei Technological Innovation Special Fund

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13927-4.pdf

Reference47 articles.

1. Arora M, Kumar M, Garg NK (2018) Facial emotion recognition system based on pca and gradient features. Natl Acad Sci Lett 41(6):365–368

2. Bansal M, Kumar M, Kumar M, Kumar K (2021) An efficient technique for object recognition using shi-tomasi corner detection algorithm. Soft Comput 25(6):4423–4432

3. Brown M, Süsstrunk S (2011) Multi-spectral sift for scene category recognition. In: Proceedings of the IEEE CVPR, pp 177–184. IEEE

4. Chen W, Chen X, Zhang J, Huang K (2017) Beyond triplet loss: a deep quadruplet network for person re-identification. In: Proceedings of the CVPR, pp 403–412

5. Choi S, Lee S, Kim Y, Kim T, Kim C (2020) Hi-cmd: hierarchical cross-modality disentanglement for visible-infrared person re-identification. In: Proceedings of the IEEE CVPR, pp 10257–10266

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