Image Query Correlation Mechanism for Visual Question Answering
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Solution Overview
Problem
Conventional image-based data processing systems, such as visual question answering systems, face inaccuracies due to their inability to accurately determine objects of interest in images, leading to incorrect responses, primarily because the attention mechanism fails to effectively associate significant object information with user queries.
Innovation Solution
The proposed method enhances the attention mechanism by determining the degree of correlation between objects and queries using attribute mapping and similarity computing, providing a response based on this correlation to improve focus and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional attention mechanism is used to process image-based data, then the system can provide responses to queries, but the accuracy of responses is low due to inability to accurately determine objects of interest
Solution Approach 1:
The patent introduces an intermediary correlation degree determination mechanism that bridges the gap between the attention mechanism and object identification. By computing correlation degrees between query terms and image regions, the system mediates the connection between user queries and relevant image objects, thereby improving both response accuracy and object identification reliability without directly modifying the core attention mechanism
Solution Approach 2:
The patent performs preliminary actions by pre-computing correlation degrees between query terms and image regions before generating final responses. This preliminary correlation analysis prepares the system in advance to quickly identify relevant objects and regions, improving both the speed and accuracy of subsequent response generation while reducing computational burden during query processing
Data Source
AI summary
Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.