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Machine learningDeep learning / NLP / CV

Vision Transformer Multimodal

Vision Transformer Multimodal (ViT Multimodal) memperluas arsitektur Vision Transformer untuk memproses dan menyelaraskan representasi dari berbagai modalitas — biasanya gambar dan teks — secara bersamaan menggunakan mekanisme perhatian diri (self-attention) dan perhatian silang (cross-attention). Dengan mempelajari ruang penyematan (embedding space) bersama atau yang selaras di berbagai modalitas, ia memungkinkan tugas-tugas seperti tanya jawab visual, pengambilan gambar-teks, penjejakan visual, dan pembuatan keterangan gambar.

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Sumber

  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

Cara menyitasi halaman ini

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

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ScholarGateMultimodal Vision Transformer (Multimodal Vision Transformer (Multimodal ViT)). Diakses 2026-06-15 dari https://scholargate.app/id/deep-learning/multimodal-vision-transformer · Set data: https://doi.org/10.5281/zenodo.20539026