[4]Damien Teney, Peter Anderson, Xiaodong He, Antovan den Hengel. Tips and Tricks for Visual Question Answering: Learning from the 2017 Challenge. In CVPR, 2018. [5]Mateusz Malinowski, Marcus Rohrbach, Mario Fritz. Ask Your Neurons: A Neural-based Approach to Answering Questions about Image...
视觉语言问答(Visual question answering)任务即看图回答问题,输入图片和问题,输出合理的回答。一些研究者将解决VQA 的网络分为两大类,一种称为巨型网络 (monolithic network),也就是利用我们熟知的 CNN (VGG, ResNet 等), RNN 为基础,设计一个固定的网络架构处理 VQA 任务,比如CNN+LSTM 再连一个全连接分类器;...
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....
Visual7W: Grounded Question Answering in Images Yuke ZhuOliver GrothMichael S. BernsteinLi Fei-Fei Jun 2016 We have seen great progress in basic perceptual tasks such as object recognition and detection. However, AI models still fail to match humans in high-level vision tasks due to the lack...
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering, Pan Lu, et.al., Arxiv Visual Relationship Detection with Language Priors, Cewu Lu, et.al, ECCV 2016 Abstract. Visual relationships capture a wide variety of interactions between pairs of objects in image...
Awesome Visual Question Answering: 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号?立即登录 master 克隆/下载 git config --global user.name userName git config --global user.email userEmail
- Scalability: VQA models need to handle a large number of images and questions efficiently to be practical for real-time applications. - Bias: VQA models can inherit biases from training data, leading to biased or unfair answers. 4. Approaches in Visual Question Answering: There are two prima...
"Visual7W visual question answering models" by Yuke Zhu GitHub:http://t.cn/RqCS4Pi【转发】@爱可可-爱生活:"Visual7W: Grounded Question Answering in Images - large-scale visual question answeri...
Now imagine you’re a computer. You’re given that same image and the text ”what sport is depicted in this image?” and asked to produce the answer. Not so easy anymore, is it? This problem is known asVisual Question Answering (VQA): answering open-ended questions about images. VQA ...
2. Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder poster:论文链接 过往的VQA模型有很大的language bias。 (language bias就有点像因为某些答案出现次数多,模型记住了问题的答案,根本不管图上显示的是什么,比如,问“香蕉啥颜色”,就回答“黄色”。这种现象严重影响了在...