Embodiments of the invention provide an image processing method and device, computer equipment and a storage medium. According to the method and device, the computer equipment and the storage medium,a to-be-processed image is firstly obtained; the to-be-processed image is input into a trained neural network model so as to obtain a processing result of the to-be-processed image, wherein the neuralnetwork model is trained through combining features, with a first resolution, output at different segments of the neural network and taking the combined features as inputs of segments, with a secondresolution, corresponding to the different segments; and the processing result of the to-be-processed image is finally output.

Image processing method and device, computer equipment and storage medium

The invention relates to a key point detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining first feature maps of multiple scales for aninput image, and enabling the scales of the first feature maps to be in a multiple relation; Using a first pyramid neural network to carry out forward processing on each first feature map to obtain second feature maps in one-to-one correspondence with the first feature maps, the second feature maps being the same as the first feature maps in one-to-one correspondence with the second feature maps in scale; carrying out reverse processing on each second feature map by utilizing a second pyramid neural network to obtain third feature maps in one-to-one correspondence with the second feature maps,the scales of the third feature maps being the same as the scales of the second feature maps in one-to-one correspondence with the third feature maps; and performing feature fusion processing on eachthird feature map, and obtaining the position of each key point in the input image by using the feature map after feature fusion processing. The positions of the key points can be accurately extracted.

Key point detection method and device, electronic equipment and storage medium

The invention relates to an image description statement positioning method and device, electronic equipment and a storage medium. The method comprises the following steps: analyzing a to-be-analyzed description statement and a to-be-analyzed image to obtain a plurality of statement attention weights of the to-be-analyzed description statement and a plurality of image attention weights of the to-be-analyzed image; obtaining a plurality of first matching scores according to the attention weights of the plurality of statements and the main body characteristics, the position characteristics and the relation characteristics of the to-be-analyzed image; obtaining a second matching score between the to-be-analyzed description statement and the to-be-analyzed image according to the plurality of first matching scores and the plurality of image attention weights; and determining a positioning result of the to-be-analyzed description statement in the to-be-analyzed image according to the second matching score. According to the embodiment of the invention, the positioning accuracy of the description statement in the image can be improved.

Image description statement positioning method and device, electronic equipment and storage medium

The present application provides a method and device for obtaining data features, an electronic device and a storage medium. The method includes: obtaining a multimedia sample including image information and text information; extracting a first image feature of the image information and a first text feature of the text information, respectively; importing a first image feature and a first text feature into the attention mechanism model, and outputting a second text feature of attention based on the first image feature and/or a second image feature of attention based on the first text feature.The present application is based on an attention mechanism, captures an association between a first image feature and a first text feature, and obtains a second text feature and/or a second image feature to which the attention mechanism is applied, such that the second text feature and the second image feature include the correlation between the image information and the text information, the feature of the attention mechanism applied obtained in the present application is realized based on an end-to-end attention mechanism model, and the dependence of the application scene on multiple modelsis reduced.

Method and device for obtaining data features, electronic device and storage medium

The invention relates to an automatic image statement marking method based on an attention feedback mechanism The method comprises: input data are constructed and a series of images X are given to form a training set, wherein x={x1, x2,   , xN} and the N expresses a sample number; a statement corresponding to the image xi is expressed as si, wherein the si={si,1,si,2,   , si, and T} and theT expresses the length of the statement Si; a CNN-RNN model is constructed and forward text generation is carried out; keyword attention is extracted from a generated text to realize reverse correction of image attention; and attention correction is carried out on an original image attention feature by using an attention feature extracted from the text Therefore, problems of distraction and generated statement disorder of the attention mechanism during the automatic image statement marking process are solved; and on the basis of the feedback CNN-RNN structure, key information in the generated text is transmitted to the image reversely by using the feedback mechanism, so that more attention is paid to an obvious object corresponding to information in the text during the image feature extraction process and thus the image key information match text key information well

Automatic image statement marking method based on attention feedback mechanism

The embodiment of the invention provides an image processing method and device, a storage medium, a computer program and electronic equipment. The image processing method comprises the following stepsthat: obtaining the characteristic pattern of an image to be detected; through a neural network, on the basis of at least two different scales, carrying out characteristic extraction on the characteristic pattern, and obtaining at least two other characteristic patterns; and combining the characteristic patterns with each other characteristic pattern to obtain the first characteristic pattern ofthe image to be detected. By use of the technical scheme of the embodiment of the invention, the neural network can be used for learning and extracting the characteristics of different scales, and characteristic extraction accuracy and robustness can be improved.

Image processing method and device, storage medium, computer program and electronic equipment

The embodiment of the invention discloses a method and device for achieving image-text matching, electronic equipment and a computer readable medium. The method for achieving image-text matching mainly comprises the steps that a set of images and texts are obtained; image features of the images are obtained through a first convolution neural network, and a first recursion neural network is used for acquiring word features in the texts; semantic attention processing is carried out on the image features and the word features, and semantic attention values are obtained; the matching degree of theimages and the texts is calculated according to the semantic attention values. By means of the method, the accuracy of image-text matching is improved to a certain extent.

Method and device for achieving image-text matching and electronic equipment

Provided in embodiments of the present application are an image processing method, a device, a storage medium, a computer program, and an electronic device. The image processing method comprises: acquiring a feature map of an image to be detected; performing feature extraction with respect to the feature map on the basis of at least two different scales via a neural network to acquire at least two other feature maps; combining the feature map and the at least two other feature maps to produce a first feature map of the image to be detected. The employment of the technical solutions of the embodiments of the present application, by utilizing neural network learning and extracting features of different scales, increases the accuracy and robustness of feature extraction.

Image processing method, device, storage medium, computer program, and electronic device

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Yang Wei

Author Tools

Chat about Author

Papers

Image processing method and device, storage medium, computer program and electronic equipment

Method and device for achieving image-text matching and electronic equipment

Image processing method, device, storage medium, computer program, and electronic device