2017. Visual question answering: A survey of methods and datasets. Computer Vision and Image Understand- ing, 163:21-40.Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, An- thony Dick, and Anton van den Hengel, "Visual ques- tion answering: A survey of methods and datasets," CVIU, pp....
Visual question answering: Datasets, algorithms, and future challenges- Kushal Kafle et al,CVIU 2017. Visual question answering: A survey of methods and datasets- Qi Wu et al,CVIU 2017. 2019 Combining Multiple Cues for Visual Madlibs Question Answering- Tatiana Tommasi et al,IJCV 2019. [code]...
Given an image and a question in natural language, it requires reasoning over visual elements of the image and general knowledge to infer the correct answer. In the first part of this survey, we examine the state of the art by comparing modern approaches to the problem. We classify methods ...
Medical Visual Question Answering: A Survey 论文:Medical Visual Question Answering: A Survey 综述 BPI-MVQA: a bi-branch model for medical visual question answering 论文:BPI-MVQA: a bi-branch model for medical visual question answering 代码(不全):Code BMC Medical Imaging(BMC:英国医学委员会)(期...
论文关键词:Visual question answering,Visual reasoning,Interpretability,Datasets,Survey论文评审过程:Received 26 April 2021, Accepted 29 April 2021, Available online 12 June 2021, Version of Record 24 June 2021.论文官网地址:https://doi.org/10.1016/j.imavis.2021.104194 ...
Learn aboutRecurrent Neural Networks(RNNs), which can be more powerful than the simple BOW-based question model we used. Take on the originalVQAdataset, which contains much harder images and questions. Check out thissurvey of VQAto understand the more sophisticated methods state-of-the-art model...
《Survey of Visual Question Answering: Datasets and Techniques》A K Gupta [Indian Institute of Technology Delhi] (2017) http://t.cn/Ra6HEjZ
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Visual question answering in medical domain (VQA-Med) exhibits great potential for enhancing confidence in diagnosing diseases and helping patients better understand their medical conditions. One of the challenges in VQA-Med is how to better understand and combine the semantic features of medical images...