A survey of deep learning-based visual question answering
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Central South University"
DOI: 10.1007/s11771-021-4641-x
Abstract: With the warming up and continuous development of machine learning, especially deep learning, the research on visual question answering field has made significant progress, with important theoretical research significance and practical application value. Therefore, it… read more here.
Keywords: survey deep; visual question; question answering; research ... See more keywords
Multi visual and textual embedding on visual question answering for blind people
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.08.117
Abstract: Abstract Visual impairment community, especially blind people have a thirst for assis- tance from advanced technologies for understanding and answering the image. Through the development and intersection between vision and language, Visual Question Answering (VQA)… read more here.
Keywords: image; question; visual question; multi visual ... See more keywords
Co-Attention Network With Question Type for Visual Question Answering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2908035
Abstract: Visual Question Answering (VQA) is a challenging multi-modal learning task since it requires an understanding of both visual and textual modalities simultaneously. Therefore, the approaches used to represent the images and questions in a fine-grained… read more here.
Keywords: attention; question; visual question; question type ... See more keywords
Visual Question Generation From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3261361
Abstract: Visual question generation (VQG) is a fundamental task in vision-language understanding that aims to generate relevant questions about the given input image. In this article, we propose a paragraph-based VQG approach for generating intelligent questions… read more here.
Keywords: visual question; remote sensing; question generation; sensing images ... See more keywords
RSVQA: Visual Question Answering for Remote Sensing Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2988782
Abstract: This article introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information, which can be useful for a wide range of tasks, including land cover… read more here.
Keywords: remote sensing; visual question; sensing data; question answering ... See more keywords
Bi-Modal Transformer-Based Approach for Visual Question Answering in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3192460
Abstract: Recently, vision-language models based on transformers are gaining popularity for joint modeling of visual and textual modalities. In particular, they show impressive results when transferred to several downstream tasks such as zero and few-shot classification.… read more here.
Keywords: modal transformer; visual question; remote sensing; approach ... See more keywords
A Spatial Hierarchical Reasoning Network for Remote Sensing Visual Question Answering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3237606
Abstract: For visual question answering on remote sensing (RSVQA), current methods scarcely consider geospatial objects typically with large-scale differences and positional sensitive properties. Besides, modeling and reasoning the relationships between entities have rarely been explored, which… read more here.
Keywords: visual question; remote sensing; spatial hierarchical; hierarchical reasoning ... See more keywords
Anomaly Matters: An Anomaly-Oriented Model for Medical Visual Question Answering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3185113
Abstract: Medical images contain various abnormal regions, most of which are closely related to the lesions or diseases. The abnormality or lesion is one of the major concerns during clinical practice and therefore becomes the key… read more here.
Keywords: medical visual; visual question; question; sensitive module ... See more keywords
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3232411
Abstract: Medical visual question answering (Med-VQA) aims to accurately answer a clinical question presented with a medical image. Despite its enormous potential in healthcare services, the development of this technology is still in the initial stage.… read more here.
Keywords: radiology; medical visual; visual question; question ... See more keywords
Radial Graph Convolutional Network for Visual Question Generation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2986029
Abstract: In this article, we address the problem of visual question generation (VQG), a challenge in which a computer is required to generate meaningful questions about an image targeting a given answer. The existing approaches typically… read more here.
Keywords: question; visual question; radial graph; image ... See more keywords
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2020.3045034
Abstract: Though beneficial for encouraging the visual question answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text contexts, the existing knowledge VQA data sets are mostly annotated in… read more here.
Keywords: vqa; question; visual question; model ... See more keywords