Baselines. We provide Q-TYPE PRIOR, a model that out- puts the most frequent answer of each question type. Implementation details. We first pre-train the backbone MLB model on the VQA-1 [2] dataset, which contains over 100, 000 NFOV images and 300, 000 question-answer pairs for ...
A method for providing content relevant images for an input question to a deep question answering system is disclosed. The method can include formulating, in response to receiving the input question, an answer to the input question. The method can also include identifying, based on the answer ...
We are still updating this question and answer page. If you have questions that have not covered by the links below, please feel free to contact me directly at dian@quotescover.com.About the Quote Image EditorAn Introduction of quote image graphic components Quick design What is the fastest...
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Each question in RecipeQA involves multiple modalities such as titles, descriptions or images, and working towards an answer requires (i) joint understanding of images and text, (ii) capturing the temporal flow of events, and (iii) making sense of procedural knowledge. The public leaderboard is ...
This paper presents stacked attention networks (SANs) that learn to answer natural language questions from images. SANs use semantic representation of a question as query to search for the regions in an image that are related to the answer. We argue that image question answering (QA) often requ...
English|简体中文 What is QAnything? Question andAnswer based onAnything(QAnything) is a local knowledge base question-answering system designed to support a wide range of file formats and databases, allowing for offline installation and use. ...
DAQUAR(Dataset for Question Answering on Real World Images) is a dataset of human question-answer pairs about images. COCO-QAis an extension of the COCO (Common Objects in Context) dataset. The questions are of 4 different types: object, number, color, and location. All answers are of a ...
(1) Short answerhere. Mask are supported but there is no interface to link image and mask yet from the command line. (2) This question was about OpenMVG. I mean do you notice a difference in the produced point cloud -> clouds_and_poses.ply when you are using the mask or there is ...
This paper presents stacked attention networks (SANs) that learn to answer natural language questions from images. SANs use semantic representation of a question as query to search for the regions in an image that are related to the answer. We argue that image question answering (QA) often ...