A Semantic Weight Adaptive Model Based on Visual Question Answering
Visual Question Answering (VQA) is an advanced artificial intelligence task that combines computer vision and natural language processing technologies. Its core objective is to enable computers to accurately answer natural language questions posed by users about image content, with these questions b...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10633287/ |
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