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Machine learningDeep learning / NLP / CV

Multimodal Sentence Embeddings (Joint Vision-Language Representation Learning)

Fikiria kamusi ambapo kila neno linaweza kutafutwa kwa kuonyesha picha badala ya kulitamka. Viwango vya maneno ya multimodal hujenga nafasi ya pamoja ya aina hiyo: kiendeshi cha lugha hubadilisha sentensi kuwa vectors, kiendeshi cha maono hubadilisha picha kuwa vectors, na lengo la mafunzo ya kulinganisha huleta jozi zinazolingana pamoja huku zikisisitiza jozi zisizolingana mbali. Baada ya kufunzwa, picha ya ombi na maelezo yanayolingana huwa karibu katika nafasi hata kama modeli haijawahi kuona jozi hiyo kamili hapo awali, ikiruhusu utafutaji wenye nguvu wa modi-msalaba na uhalisishaji wa sifuri-mwaliko.

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Vyanzo

  1. Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., ... & Sutskever, I. (2021). Learning transferable visual models from natural language supervision. In Proceedings of the 38th International Conference on Machine Learning (ICML), pp. 8748–8763. PMLR. link
  2. Frome, A., Corrado, G. S., Shlens, J., Bengio, S., Dean, J., Ranzato, M., & Mikolov, T. (2013). DeViSE: A deep visual-semantic embedding model. In Advances in Neural Information Processing Systems (NeurIPS), Vol. 26. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multimodal Sentence Embeddings (Joint Vision-Language Representation Learning). ScholarGate. https://scholargate.app/sw/deep-learning/multimodal-sentence-embeddings

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ScholarGateMultimodal Sentence Embeddings (Multimodal Sentence Embeddings (Joint Vision-Language Representation Learning)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multimodal-sentence-embeddings · Seti ya data: https://doi.org/10.5281/zenodo.20539026