We proposed LRNs, which provide deeper semantic information, and a multilevel attention mechanism for VQA tasks. •. We comprehensively evaluated the COCO-QA ...
Highlights •We proposed LRNs, which provide deeper semantic information, and a multilevel attention mechanism for VQA tasks.•We comprehensively evaluated ...
An image captioning method based on local relation network using a multilevel attention approach with graph neural network that not only fully explores the ...
Inspired by the recent success of text-based question an- swering, visual question answering (VQA) is proposed to automatically answer natural language ...
Also, a multilevel attention approach is used to focus on a given image region and its related image regions, thus enhancing the image representation capability ...
Sep 16, 2022 · In this paper, a Local Relation Network (LRN) is designed over the objects and image regions which not only discovers the relationship between ...
In this paper, to align the relation-consistent pairs and integrate the interpretability of VQA systems, we propose a Cross-modal Relational Rea- soning Network ...
People also ask
What is the word to region attention network for visual question answering?
What is the visual question answering algorithm?
Sep 7, 2022 · We propose a path attention memory network (PAM) to construct a more robust composite attention model.
Oct 4, 2022 · The existing research on the visual question answering model mainly focuses on the point of view of attention mechanism and multi-modal fusion.
Jun 28, 2023 · Visual Question Answering (VQA) is a multimodal task that uses natural language to ask and answer questions based on image content.