Nov 14, 2023 · The Transductive Answering module utilizes a mixture of answer vocabulary and OCR tokens to obtain answer candidates, which is transductive ...
To this end, we propose a novel multilingual text-based VQA framework suited for cross-language scenarios(CLVQA), transductively considering multiple answer ...
Transductive Cross-Lingual Scene-Text Visual Question Answering. https://doi.org/10.1007/978-981-99-8076-5_33 ·. Journal: Neural Information Processing ...
Oct 29, 2023 · This paper undertakes an empirical investigation into multilingual scene-text visual question answering, addressing both cross-lingual (English <-> Chinese) ...
Scene Text Visual Question Answering (ST-VQA) has recently emerged as a hot research topic in Computer Vision. Current ST-VQA models have a big potential ...
Sep 14, 2022 · In this paper, we present a framework for Multilingual Scene Text Visual Question Answering that deals with new languages in a zero-shot fashion.
Missing: Transductive | Show results with:Transductive
Visual Question Answering (VQA) aims to come up with an answer to a given natural language question about the image. Since its introduction, VQA has ...
Missing: Transductive | Show results with:Transductive
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What is visual question answering using deep learning?
Visual Question Answering (VQA) v2.0 is a dataset containing open-ended questions about images. These questions require an understanding of vision, language and ...
Abstract: Understanding visual question-answering (VQA) will be essential for many human tasks. However, it poses significant.
Feb 15, 2022 · In this work, we delve deeper into the different aspects of cross-lingual VQA, aiming to understand the impact of 1) modeling methods and choices.
Missing: Transductive Scene-