GViG: low-resource generative visual grounding using prompt-based language modeling for visual question answering
Crossref DOI link: https://doi.org/10.1007/s41060-025-00835-7
Published Online: 2025-07-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Yi-Ting
Lin, Ying-Jia
Kao, Hung-Yu
Funding for this research was provided by:
National Tsing Hua University
Text and Data Mining valid from 2025-07-11
Version of Record valid from 2025-07-11
Article History
Received: 30 November 2024
Accepted: 29 May 2025
First Online: 11 July 2025