Machine learningDeep learning / NLP / CV

Multimodalni vizualni transformer

Multimodalni vizualni transformer (Multimodal ViT) proširuje arhitekturu Vision Transformer kako bi zajednički obrađivao i usklađivao reprezentacije iz više modaliteta — obično slika i teksta — koristeći mehanizme samopažnje (self-attention) i unakrsne pažnje (cross-attention). Učeći zajedničke ili usklađene prostore ugrađivanja (embedding spaces) preko modaliteta, omogućuje zadatke poput odgovaranja na vizualna pitanja (visual question answering), dohvaćanja slika i teksta (image-text retrieval), vizualnog uzemljenja (visual grounding) i opisivanja slika (image captioning).

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Izvori

  1. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., & Houlsby, N. (2021). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In International Conference on Learning Representations (ICLR). link
  2. Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., & Sutskever, I. (2021). Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning (ICML), PMLR 139. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Multimodal Vision Transformer (Multimodal ViT). ScholarGate. https://scholargate.app/hr/deep-learning/multimodal-vision-transformer

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Citirana u

ScholarGateMultimodal Vision Transformer (Multimodal Vision Transformer (Multimodal ViT)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/multimodal-vision-transformer · Skup podataka: https://doi.org/10.5281/zenodo.20539026