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, Anthony Dick, and Anton van den Hengel. 2017. Visual question answering: A survey of methods and datasets. Computer ...
VQA: 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. 和Textual QA区别 图像维度更高,会引入更多的噪声 图像没有文化那样的结构化和语法规则 文本往往是一个抽象的概念,而图像更加具体,让计算机...
Zhang et al. (2016)attempt to solve the binary visual question answering problem. They attempt to organize the information in a question by introducing a PRS structure, where P represents the primary object, R stands for relation, and S stands for the secondary object. P and S values would ...
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]...
《Survey of Visual Question Answering: Datasets and Techniques》A K Gupta [Indian Institute of Technology Delhi] (2017) http://t.cn/Ra6HEjZ
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...
Visual question answering using deep learning: A survey and performance analysis. arXiv preprint arXiv:1909.01860, 2019. 2 [33] Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey, and Snehasis Mukherjee. Visual question answering using deep learning: A survey and pe...
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...
The multi-modal fusion in visual question answering: a review of attention mechanisms 2023, PeerJ Computer Science Attention, please! A survey of neural attention models in deep learning 2022, Artificial Intelligence Review Reasoning on the Relation: Enhancing Visual Representation for Visual Question ...