Visual Question Answering System for Indian Regional Languages
- Resource Type
- Conference
- Authors
- Amin, Dhiraj; Govilkar, Sharvari; Kulkarni, Sagar
- Source
- 2022 5th International Conference on Advances in Science and Technology (ICAST) Advances in Science and Technology (ICAST), 2022 5th International Conference on. :22-27 Dec, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Deep learning
Visualization
Natural languages
Benchmark testing
Question answering (information retrieval)
visual question answering
question answering
- Language
Questions are asked over the image within the Visual question answering system (VQAS). VQAS takes input as a user's natural language question and relative image. VQAS are mostly trained with a huge dataset with image, question and its correct answer. Many datasets like VQA, Visual7W and others have questions and answers over the image in English but there is scarcity of resources for many regional languages like Hindi and Marathi. In this paper we investigate different methods over the Hindi and Marathi version of the easy-VQA dataset.