PTCR: Knowledge-Based Visual Question Answering Framework Based on Large Language Model
Aiming at the problems of insufficient model input information and poor reasoning performance in knowledge-based visual question answering (VQA), this paper constructs a PTCR knowledge-based VQA framework based on large language model (LLM), which consists of four parts: answer candidate generation,...
Kaydedildi:
| Yazar: | |
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| Materyal Türü: | Artigo |
| Dil: | Chinês |
| Baskı/Yayın Bilgisi: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-11-01
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| Seri Bilgileri: | Jisuanji kexue yu tansuo |
| Konular: | |
| Online Erişim: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2406028.pdf |
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