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Vision transformer (ViT) and its variants have swept through visual learning leaderboards and offer state-of-the-art accuracy in tasks such as image classification, object detection, and semantic segmentation by attending to different parts of the vi
Externí odkaz:
http://arxiv.org/abs/2309.02617
Autor:
J., Sai Mitheran1 (AUTHOR) saimitheran9277@gmail.com, Suresh, Anushri1 (AUTHOR) anushrisuresh@gmail.com, J.S., Nisha1 (AUTHOR) nishajs2007@gmail.com, Gopi, Varun P.1 (AUTHOR) varun@nitt.edu
Publikováno v:
Optik - International Journal for Light & Electron Optics. Oct2022, Vol. 267, pN.PAG-N.PAG. 1p.