A Comprehensive Review and Open Challenges on Visual Question Answering Models
Fasi Ahamad Shaik,
Dipali Koshti,
Ashutosh Gupta
et al.
Abstract:Users are now able to actively interact with images and pose different questions based on images, thanks to recent developments in artificial intelligence. In turn, a response in a natural language answer is expected. The study discusses a variety of datasets that can be used to examine applications for visual question-answering (VQA), as well as their advantages and disadvantages. Four different forms of VQA models—simple joint embedding-based models, attention-based models, knowledge-incorporated models, and… Show more
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