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 ...
A task that has grasped the attention of the AI community recently is that of visual question answering. This article will explore the problem of visual question answering, different approaches to solve it, associated challenges, datasets, and evaluation methods. Introduction Visual question answering ...
Browse State-of-the-Art Datasets Methods More Sign In Texts Edit Visual Question Answering v2.0 (VQA v2.0) Introduced by Goyal et al. in Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering ...
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...
模型架构基于论文Hierarchical Question-Image Co-Attention for Visual Question Answering。 技术层面 应用程序中使用的模型是在VQA 2.0数据集上训练的,在该数据集上论文的准确率为 54%,在VQA-Flask-App中使用的模型准确率为 49.20%。 本地运行应用程序
Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques We address the problem of Visual Question Answering (VQA), which requires joint image and language understanding to answer a question about a given photogr... V Kumari,A Sethi,Y Sharma,... 被引量: 0发表:...
Learn what Visual Question Answering (VQA) is, how it works, and explore models commonly used for VQA.
《Survey of Visual Question Answering: Datasets and Techniques》A K Gupta [Indian Institute of Technology Delhi] (2017) http://t.cn/Ra6HEjZ
To the best of our knowledge, VLP is the first reported model that achieves state-of-the-art results on both vision-language generation and understanding tasks, as disparate as image captioning and visual question answering, across three challenging benchmark datasets: COCO Captions, Flickr30k ...
datasets/$DATASET_SIZE \ --val_dir datasets/$DATASET_SIZE --checkpoint_dir $CHECKPOINT \ --question_dir datasets/questions/all/master_adv_ocr.json --experiment_name ms-$MODEL-$EXP_NAME \ --ngpus 4 --machine_type $MACHINE_TYPE --wandb_status online --max_patches 512 --accumulation_...