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Visual Question Answering (VQA) is a complex semantic task requiring both natural language processing and visual recognition. In this paper, we explore whether VQA is solvable when images are captured in a sub-Nyquist compressive paradigm. We develop
Externí odkaz:
http://arxiv.org/abs/1806.03379
Publikováno v:
Nepal Journal of Neuroscience; 2023, Vol. 20 Issue 2, p75-78, 4p
Autor:
Kumar, Saroj, Sahay, Divyanshu, Hegde, Sandesh R, Sandya, S, Jha, Anik Kumar, Mahalingesh, T C
Publikováno v:
2015 IEEE Aerospace Conference; 2015, p1-13, 13p