A visual question answering method based on task decomposition.

ABSTRACT: Visual question answering (VQA) as an interdisciplinary task of computer vision and natural language processing, estimating the model's visual reasoning ability, which requires the integration of image information extraction technology and natural language understanding technology. The testing on professional benchmark which controls the potential bias states that the VQA method based on task decomposition is a promising approach, offering advantages in interpretability at program execution stage and reducing data bias dependencies, compared with traditional VQA methods that only rely on multimodal fusion. The VQA method based on task decomposition decomposes the task by parsing natural language and it usually parses the language with sequence-to-sequence networks. It has limitations when

SUBMITTER: Cong Y 

PROVIDER: S-EPMC12614567 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature