Sentiment analysisCross-modalSocial imageCorrelationSocial media has become indispensable to people's lives, where they can share their views and emotion with images and texts. Analyzing social images for sentiment prediction can help understand human social behavior and provide better recommendation ...
但是这些最新的搜索技术，返回的结果通常缺乏可解释性。客户可能希望输入查询“十字螺丝刀”，实际返回“开...
Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomography (CT) images, plays a pivot role in auxiliary diagnoses, treatments and postoperative assessments of cardiovascular diseases. However, training a well-behaved segmentation model for the cross-modal car...
Specifically, in our framework, we designed a semantic alignment module (SAM) to fully explore the latent correspondence between images and text, in which we used the attention gate mechanisms to filter and optimize data features so that more discriminative feature representations can be obtained. ...
People can recognize scenes across many different modalities beyond natural images. In this paper, we investigate how to learn cross-modal scene representations that transfer across modalities. To study this problem, we introduce a new cross-modal scene dataset. While convolutional neural networks can...
论文地址: https://www.researchgate.net/publication/320964718_Learning_Cross-Modal_Embeddings_for_Cooking_Recipes_and_Food_Images来源:CVPR 2017 一、Introduction 文章要做的事情(recipe retreival):输…
Multi-scale image-text matching network for scene and spatio-temporal images In recent years, with the development of deep learning technology, computer vision and natural lan-guage processing have made significant progress, and est... R Yu,F Jin,Z Qiao,... - 《Future Generations Computer ...
Building bilateral semantic associations between images and texts is among the fun- damental problems in computer vision. In this paper, we study two complementary cross-modal prediction tasks: (i) predicting text(s) given an image ("Im2Text"), and (ii) predicting image(s) given a piece ...
Images supporting Language Models 侧重于将视觉元素整合到纯文本语言模型中。传统模型仅从文本上下文中假定...
3.2 Matching images and text 每当图像和文本空间具有自然对应关系时，跨模态检索就归结为经典检索问题...