在2018年,Anderson等人在Bottom-up and top-down attention for image captioning and visual question answering中开创性地提出了自上而下和自下而上的注意力机制来学习候选对象地特征,首先使用Faster RCNN提取出图像中对象的特征,接着将提取出来的视觉特征与GRU(或LSTM)提取出的文本特征进行融合,得到注意力权重分布...
一、前述 视觉问答(Visual Question Answering,VQA),是一种涉及计算机视觉和自然语言处理的学习任务。这一任务的定义如下: A VQA system takes as input an image and a free-form, open-ended, natural-language question about the image and produces a natural-language answer as the output[1]。 翻译为中...
一、前述 视觉问答(Visual Question Answering,VQA),是一种涉及计算机视觉和自然语言处理的学习任务。这一任务的定义如下: A VQA system takes as input an image and a free-form, open-ended, natural-language question about the image and produces a natural-language answer as the output[1]。 翻译为中...
一、前述 视觉问答(Visual Question Answering,VQA),是一种涉及计算机视觉和自然语言处理的学习任务。这一任务的定义如下: A VQA system takes as input an image and a free-form, open-ended, natural-language question about the image and produces a natural-language answer as the output[1]。 翻译为中...
hyperai-tutorials / 模型 / VQA 视觉问答数据集 (Visual Question Answering) 暂无版本备注 9 个月前 处理完毕 113.24 MB 共1 个版本 大模型 准备体验 OpenBayes? 现在即可注册并立即体验 OpenBayes 的在线机器学习服务,您也可以联系我们了解如何为您的企业提供定制化方案 ...
之所以这么做,是因为当时老板想让我就attention的问题来设计个提升VQA的模型,我想看下提升的upper bound,就做了个(劝退)分析。 Step 6:六类问题的典型例子 问题一:ground truth就是错的/模糊的 (1)什么车?(2)什么草? 问题二:问题表述的歧义。(1)所以这也算错?谁说AI要统治人类?(2)真·多说(一个字)多...
结合可视化分析目前Visual Question Answering(VQA)系统的主要问题 https://zhuanlan.zhihu.com/p/112022790 Awesome-Text-VQA 讨论范围: 数据集:VQA 2.0:https://visualqa.org/ 模型: Bottom-Up-Top-Down BAN 可视化方法: 在原图上绘制了主要的bounding box(bbox),同时将attention的权重显示为这些bbox的颜色,红色...
Despite tremendous progress in the field of Visual Question Answering, models today still tend to be inconsistent and brittle. Thus, we propose a model-independent cyclic framework which increases consistency and robustness of any VQA architecture. We train our models to answer the original question,...
We propose the task of free-form and open-ended Visual Question Answering (VQA). Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. Mirroring many real-world scenarios, such as helping the visually impaired, both the q...
Visual Question Answering in Pytorch. Contribute to TQCAI/vqa.pytorch development by creating an account on GitHub.