KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue

Jiang, Xiaoze; Du, Siyi; Qin, Zengchang; Sun, Yajing; Yu, Jing

doi:10.48550/arxiv.2008.04858

Cited by 1 publication

(1 citation statement)

References 40 publications

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“…[232] proposed a scheme to integrate knowledge reasoning and semantic data where the reasoning engine processes the ontology model with real-time semantic data from the production process. [233] proposed a knowledge-bridge graph network (KBGN) model by using a graph to bridge the cross-modal semantic relations between vision and text knowledge in fine granularity, as well as retrieving required knowledge via an adaptive information selection mode. [234] proposed an automatic literature knowledge graph and reasoning network framework based on ontology and natural language processing, to facilitate efficient knowledge exploration from literature abstract.…”

Section: Application (App) Tiermentioning

confidence: 99%

Networking Systems of AI: On the Convergence of Computing and Communications

Song

Zhang

et al. 2022

IEEE Internet Things J.

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with the focus on six areas: transparency and accountability; ethics and fairness; the preservation of privacy and security; human rights, diversity and inclusivity. It maximizes the benefits of AI while managing the disruption of its implementation. T-mobileFrom AI to VR and Beyond: T-Mobile Accelerator Named Class of 2020 Startups [29], is driving the development in AI, drones, robotics, autonomous vehicles and more on the carrier's nationwide 5G/4G networks. China Mobile China Mobile, Haier and Huawei jointly [30] launched the world's first AI+5G interconnected factory at the 2019 World Industrial Internet Conference (WIIC) in Qingdao. This improvement refines future smart manufacturing by innovating and transforming enterprise organizations, business models, and ICT technologies, and integrating key technologies of AI and 5G.

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Section: Application (App) Tiermentioning

confidence: 99%