We introduce the task of Image-Set Visual Question Answering (ISVQA), which generalizes the commonly studied single-image VQA problem to multi-image settings. Taking a natural language question and a set of images as input, it aims to answer the question based on the content of the images....
于是他们就提出了模型Visually Grounded Question Encoder (VGQE) 3. Visual Question Answering on Image Sets poster论文链接 该文提出了一个Image-Set Visual Question Answering (ISVQA)数据集,该数据集将只有一张图的VQA转为多图VQA,输入是一个问题和一系列的图片。ISVQA有分为室内场景和室外场景。 给定一系列...
Visual Question Answering on 360◦ Images Shih-Han Chou1,2, Wei-Lun Chao3, Wei-Sheng Lai5, Min Sun2, Ming-Hsuan Yang4,5 1University of British Columbia 2National Tsing Hua University 3The Ohio State University 4University of California at Merced 5Google "Scene" question example: Q: ...
Abstract. Recently, Visual Question Answering (VQA) has emerged as one of the most significant tasks in multimodal learning as it requires understanding both visual and textual modalities. Existing methods mainly rely on extracting image and question features to learn their joint feature embedding via ...
Bottom Up and Top Down Attention for Image Captioning and Visual Question Answering 阅读总结 笔记不能简单的抄写文中的内容,得有自己的思考和理解。 一、基本信息 \1.标题: Bottom Up and Top Do
Visual Question Answering (VQA) VQA represents the task of correctly providing an answer to a question given a visual input (image/video). For accurate performance, it is essential to infer logical entailments from the image (or video) based on the posed question. ...
He, X. Towards visual question answering on pathology images. In Proc. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) (eds Zong, C. et al.) 708–718 (Association for Computat...
The initial model was tailored towards a visual question answering task with a single image, but an RN-based architecture appears to be useful across all kinds of reasoning tasks. A network called Wild Relation Network (WReN) was proposed in ref. 5 to solve Raven’s Progressive Matrices (...
image and to express it in meaningful natural language sentences. Image caption generation is an integral part of many useful systems and applications such as visual question answering machines, surveillance video analyzers, video captioning, automatic image retrieval, assistance for visually impaired ...
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