Results 41 to 50 of about 34,250 (255)

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

Path-Wise Attention Memory Network for Visual Question Answering

Mathematics, 2022
Visual question answering (VQA) is regarded as a multi-modal fine-grained feature fusion task, which requires the construction of multi-level and omnidirectional relations between nodes.
Yingxin Xiang, Chengyuan Zhang, Zhichao Han, Hao Yu, Jiaye Li, Lei Zhu   +5 more
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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
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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
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Answer-Type Prediction for Visual Question Answering

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Recently, algorithms for object recognition and related tasks have become sufficiently proficient that new vision tasks can now be pursued. In this paper, we build a system capable of answering open-ended text-based questions about images, which is known as Visual Question Answering (VQA).
Kafle, Kushal, Kanan, Christopher
openaire   +2 more sources

Visual Question Generation as Dual Task of Visual Question Answering [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, but they are usually explored separately despite their intrinsic complementary relationship. In this paper, we propose an end-to-end unified model, the Invertible Question Answering Network (iQAN), to introduce question generation as a ...
Yikang Li 0002, Nan Duan 0001, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang 0001, Ming Zhou 0001   +6 more
openaire   +1 more source

A Survey on Visual Question Answering Methodologies [PDF]

The Egyptian Journal of Language Engineering
Understanding visual question-answering (VQA) will be essential for many human tasks. However, it poses significant obstacles at the core of artificial intelligence as a multimodal system.
Aya Al-Zoghby, Aya Saleh, wael awad
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Fair-VQA: Fairness-Aware Visual Question Answering Through Sensitive Attribute Prediction

IEEE Access, 2020
Visual Question Answering (VQA) is a task that answers questions on given images. Although previous works achieve a great improvement in VQA performance, they do not consider the fairness of answers in terms of ethically sensitive attributes, such as ...
Sungho Park, Sunhee Hwang, Jongkwang Hong, Hyeran Byun   +3 more
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Visual Storytelling Based on Planning Learning [PDF]

Jisuanji kexue
Visual storytelling is a growing area of interest for scholars in computer vision and natural language processing.Current models concentrate on enhancing image representation,like using external knowledge and scene diagrams.Despite some advancements have
WANG Yuanlong, ZHANG Ningqian, ZHANG Hu
doaj   +1 more source

Visual question answering for medical diagnosis

Intelligent Systems with Applications
The use of Artificial Intelligence (AI) in medical diagnosis is a breakthrough in healthcare, improving both accuracy and efficiency. Recently, a significant advancement has been made toward the development of multimodal AI systems that can process and ...
Nawel Ben Chaabane, Mohamed Bal-Ghaoui
doaj   +1 more source