Results 41 to 50 of about 4,895,571 (286)

Visual question answering with gated relation‐aware auxiliary

IET Image Processing, 2022
The great advances in computer vision and natural language processing make significant progress in visual question answering. In the visual question answering task, the visual representation is essential for understanding the image content.
Xiangjun Shao, Zhenglong Xiang, Yuanxiang Li   +2 more
doaj   +1 more source

Co-Attention Network With Question Type for Visual Question Answering

IEEE Access, 2019
Visual Question Answering (VQA) is a challenging multi-modal learning task since it requires an understanding of both visual and textual modalities simultaneously.
Chao Yang, Mengqi Jiang, Bin Jiang, Weixin Zhou, Keqin Li   +4 more
doaj   +1 more source

DOMAS: DATA ORIENTED MEDICAL VISUAL QUESTION ANSWERING USING SWIN TRANSFORMER

Studia Universitatis Babes-Bolyai: Series Informatica, 2023
The Medical Visual Question Answering problem is a joined Computer Vision and Natural Language Processing task that aims to obtain answers in natural language to a question, posed in natural language as well, regarding an image.
Teodora-Alexandra TOADER
doaj   +1 more source

Data and Knowledge Enhanced Medical Visual Question Answer Network [PDF]

Jisuanji kexue
Med-VQA aims to accurately answer clinical questions based on a given medical image,which is key in advancing clinical medical intelligence.Despite some progress in this field,challenges remain in extracting deep multimodal information from both images ...
YAN Yujing, HOU Xia, GUO Yuting, ZHANG Mingliang, SONG Wenfeng
doaj   +1 more source

VISUAL QUESTIONING AND ANSWERING

International Journal of Innovative Research in Advanced Engineering, 2022
In general, a VQA system is an algorithm that takes a picture and natural language query about the image as input and produces natural language response as output. The nature of a multi-discipline research problem necessitates this. This is a diagnostic dataset that assesses a variety of visual reason skills.
Lokesh R, Madhusudan C, Darshan T, Sunil kumar N   +3 more
openaire   +1 more source

An Improved Attention for Visual Question Answering [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
We consider the problem of Visual Question Answering (VQA). Given an image and a free-form, open-ended, question, expressed in natural language, the goal of VQA system is to provide accurate answer to this question with respect to the image. The task is challenging because it requires simultaneous and intricate understanding of both visual and textual ...
Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini   +3 more
openaire   +3 more sources

Intensional Question Answering using ILP: What does an answer mean? [PDF]

, 2008
Cimiano P, Hartfiel H, Rudolph S. Intensional Question Answering using ILP: What does an answer mean? In: Kapetanios E, Sugumaran V, Spiliopoulou M, eds. Natural Language and Information Systems. Lecture Notes in Computer Science. Vol 5039.
Sugumaran, Vijayan, Philipp Cimiano, Spiliopoulou, Myra, Hartfiel, Helena, Sebastian Rudolph, Rudolph, Sebastian, Kapetanios, Epaminondas, Helena Hartfiel, Cimiano, Philipp ; https://orcid.org/   +8 more
core   +1 more source

Efficient question answering with question decomposition and multiple answer streams [PDF]

, 2009
The German question answering (QA) system IRSAW (formerly: InSicht) participated in QA@CLEF for the fth time. IRSAW was introduced in 2007 by integrating the deep answer producer InSicht, several shallow answer producers, and a logical validator ...
Glöckner, Ingo, Hartrumpf, Sven, Ingo Glöckner, Johannes Leveling, Sven Hartrumpf, Leveling, Johannes   +5 more
core   +2 more sources

Multi-Question Learning for Visual Question Answering

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Visual Question Answering (VQA) raises a great challenge for computer vision and natural language processing communities. Most of the existing approaches consider video-question pairs individually during training. However, we observe that there are usually multiple (either sequentially generated or not) questions for the target video in a VQA task, and
Chenyi Lei, Lei Wu, Dong Liu 0002, Zhao Li, Guoxin Wang 0002, Haihong Tang, Houqiang Li   +6 more
openaire   +3 more sources

An Open-Domain Question Answering System Using Annotated Web Feeds. [PDF]

, 2007
Open Domain Question Answering Systems (ODQA) aim to answer all possible questions, regardless of topic and time. For this to be possible, most current ODQA systems depend on the World Wide Web through search engines, e.g.
Cheah, Yu-N, Cheah, Yu N, Ismail, Bukhary Ikhwan, Ismail , Ikhwan Bukhary   +3 more
core   +1 more source