首页什么是DEEP visual embedding

什么是DEEP visual embedding

时间: 2023-09-06 16:14:45 浏览: 255

Deep Visual-Semantic Alignments for Generating Image Descriptions

We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence descriptions to learn about the inter-modal correspondences between language and visual data. Our alignment model is based on a novel combination of Convolutional Neural Networks over image regions, bidirectional Recurrent Neural Networks over sentences, and a structured objective that aligns the two modalities through a multimodal embedding. We then describe a Multimodal Recurrent Neural Network architecture that uses the inferred alignments to learn to generate novel descriptions of image regions. We demonstrate that our alignment model produces state of the art results in retrieval experiments on Flickr8K, Flickr30K and MSCOCO datasets. We then show that the generated descriptions significantly outperform retrieval baselines on both full images and on a new dataset of region-level annotations.

深度视觉嵌入（Deep Visual Embedding）是一种将图像转化为高维特征向量的技术。它通过使用深度学习模型，将图像映射到一个低维的连续向量空间中，使得相似的图像在向量空间中的距离更近。这种嵌入技术可以用于图像搜索、图像聚类、图像检索等视觉任务中。通过将图像表示为向量，我们可以使用向量之间的距离或相似性度量来衡量图像之间的相似程度。深度视觉嵌入可以通过使用预训练的卷积神经网络（CNN）模型，如VGG、ResNet等，提取图像的特征表示，并将其映射到低维向量空间。这样的嵌入技术可以广泛应用于计算机视觉领域的各种任务。

阅读全文