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,...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Chinês |
| Julkaistu: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-11-01
|
| Sarja: | Jisuanji kexue yu tansuo |
| Aiheet: | |
| Linkit: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2406028.pdf |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
|