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AI for Good Innovate for Impact
In order to meet the above use case requirements, this accessibility project combines
technology, hardware, requirements, and corporate responsibility to provide high-quality
accessibility services for visually and hearing-impaired users, promoting inclusive development
in society. 4.9: Accessibility
4 Sequence Diagram
5 References
[1] J. He et al., “vivo Sign Language Avatar Translation System,” vivoMobileCommunicationCo.,Ltd,
2024. Available: https:// aclanthology .org/ 2024 .ccl -3 .43 .pdf
[2] X. Lu et al., “BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language
Models on Mobile Devices.” arXiv, Nov. 16, 2024. doi: 10.48550/arXiv.2411.10640. Available:
http:// arxiv .org/ abs/ 2411 .10640.
[3] L. Xu et al., “A Novel Feature Based on Graph Signal Processing for Detection of Physical
Access Attacks,” presented at the Proc. Odyssey 2022, 2022, pp. 107–111. doi: 10.21437/
Odyssey.2022-15. Available: https:// www .isca -archive .org/ odyssey _2022/ xu22 _odyssey .html
#: ~: text = With %20this %20motivation %2C %20we %20propose %20a %20novel %20feature ,the
%20graph %20Fourier %20analysis %20to %20extract %20GFCC %20features.
[4]Multimodal Large Model Training Database:laion5B: https:// laion .ai/ blog/ laion -5b/
[5] Multimodal Large Model Training Database:Taisu: https:// github .com/ ksOAn6g5/ TaiSu
[6]Multimodal Large Model Training Database: wukong:https:// wukong -dataset .github .io/
wukong -dataset/ index .html
[7] https:// accessibility .vivo .com/ ?from = CSR _HomePage
[8] https:// www .vivo .com .cn/ originos: vivo origin OS
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