ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Transformer wa Maono unaobadilika na Kikoa

Transformer wa Maono unaobadilika na Kikoa (DA-ViT) hutumia mbinu za uhamishaji wa kikoa — kama vile ulinganifu wa kiushindani, mafunzo binafsi, au daraja la kiwango cha umakini — juu ya uti wa mgongo wa Transformer wa Maono uliopatiwa mafunzo awali ili kuhamisha maarifa ya kuona kutoka kikoa cha chanzo kilicho na lebo hadi kikoa cha lengo kisicho na lebo au chenye lebo kidogo, kupunguza mabadiliko ya usambazaji ambayo hupunguza urekebishaji wa kawaida wa ViT.

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Vyanzo

  1. Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., ... & Houlsby, N. (2021). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. International Conference on Learning Representations (ICLR). link
  2. Yang, L., Balaji, Y., Lim, S. N., & Shrivastava, A. (2023). TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 520-530. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Domain-Adaptive Vision Transformer (DA-ViT). ScholarGate. https://scholargate.app/sw/deep-learning/domain-adaptive-vision-transformer

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Imerejelewa na

ScholarGateDomain-adaptive vision transformer (Domain-Adaptive Vision Transformer (DA-ViT)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/domain-adaptive-vision-transformer · Seti ya data: https://doi.org/10.5281/zenodo.20539026