Interpretable Visual Question Answering Counting via Bounding Box Grounding
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Solution Overview
Problem
Current visual question answering systems lack the ability to provide interpretable counting results for images, making it difficult to verify the accuracy of counted objects and identify the correct reasons for the count, which is crucial for applications like medical imaging and autonomous vehicles.
Innovation Solution
A system that processes images and natural language questions to count objects by using a combination of image processing, language processing, and scoring modules to generate interpretable results, including bounding boxes and coordinates, which allows for the identification of counted objects and their relevance to the question.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a visual question answering system counts objects in images, then the counting capability is provided, but the interpretability and verifiability of the counting results are lacking
Solution Approach 1:
The patent introduces an intermediary module that generates and provides grounding information (bounding boxes, coordinates, object descriptions) as a bridge between the counting system and the user. This intermediary layer enables verification of counting results without requiring changes to the core counting mechanism, thus resolving the contradiction between maintaining counting capability and improving interpretability.
Solution Approach 2:
The patent segments the counting system into distinct functional components: the core counting module and the information provision module. By separating these functions, the system can maintain accurate counting while independently adding interpretability features without interfering with the core counting accuracy.
2Reliability
If additional information is provided to verify counting results, then the interpretability is improved, but the system complexity increases
Solution Approach 1:
The patent designs the information provision module to serve multiple functions simultaneously: generating grounding information, verifying counting results, and providing interpretable output. This multi-functionality approach allows the system to improve reliability without proportionally increasing complexity, as a single module handles multiple verification and interpretation tasks.
Solution Approach 2:
The system generates its own verification information (bounding boxes, coordinates, object descriptions) autonomously without requiring external verification tools or manual intervention. This self-service capability improves reliability while avoiding the complexity of external verification systems.
3Loss of information
If the system processes and generates detailed counting information, then the interpretability is enhanced, but the processing time and computational resources increase
Solution Approach 1:
The patent generates grounding information (bounding boxes, coordinates, object descriptions) as a preliminary step during the counting process itself, rather than as a separate post-processing step. This preliminary action ensures that verification information is readily available when needed, reducing additional processing time while maintaining enhanced interpretability.
Data Source
AI summary
Approaches for interpretable counting for visual question answering include a digital image processor, a language processor, and a counter. The digital image processor identifies objects in an image, maps the identified objects into an embedding space, generates bounding boxes for each of the identified objects, and outputs the embedded objects paired with their bounding boxes. The language processor embeds a question into the embedding space. The scorer determines scores for the identified objects. Each respective score determines how well a corresponding one of the identified objects is responsive to the question. The counter determines a count of the objects in the digital image that are responsive to the question based on the scores. The count and a corresponding bounding box for each object included in the count are output. In some embodiments, the counter determines the count interactively based on interactions between counted and uncounted objects.