ShuffleVITNet: Mobile-Friendly Vision Transformer With Less-Memory-Reference-Cited by-同舟云学术

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ShuffleVITNet: Mobile-Friendly Vision Transformer With Less-Memory

Published:2024-06-30 Issue: Volume:34 Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Zhao Xinyu¹,Lu Jun¹

Affiliation:

1. Heilongjiang University,College of Computer Science and Technology,Harbin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651021.pdf?arnumber=10651021

Reference26 articles.

1. Swin Transformer V2: Scaling Up Capacity and Resolution

2. Going deeper with Image Transformers

3. Scaling vision with sparse mixture of experts;Riquelme;Advances in Neural Information Processing Systems,2021

4. Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer;Mehta,2021

5. Training data-efficient image transformers & distillation through attention;Touvron

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