Machine learningDeep learning / NLP / CV
多语言视觉Transformer
多语言视觉Transformer（Multilingual ViT）扩展了视觉Transformer架构，使其能够跨多种语言运行，从而在多语言或跨语言环境中实现图像理解和图像-文本推理。它将基于图像块的图像编码与多语言文本表示相结合，使得单个模型能够为不同的语言社区提供服务，完成诸如图像字幕生成、视觉问答和跨语言图像检索等任务。
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来源
- 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. International Conference on Learning Representations (ICLR 2021). link ↗
- Bugliarello, E., Liu, F., Pfeiffer, J., Reddy, S., Elliott, D., Erdem, E., Erdem, A., & Lukasiewicz, T. (2022). IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages. International Conference on Machine Learning (ICML 2022). link ↗
如何引用本页
ScholarGate. (2026, June 3). Multilingual Vision Transformer (Multilingual ViT). ScholarGate. https://scholargate.app/zh/deep-learning/multilingual-vision-transformer
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