HSViT: A Hardware and Software Collaborative Design for Vision Transformer via Multi-level Compression-Reference-Cited by-同舟云学术

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HSViT: A Hardware and Software Collaborative Design for Vision Transformer via Multi-level Compression

Published:2024-05-19 Issue: Volume:1 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Song HongRui¹,Xu Liang²,Wang Ya³,Wu Xiao¹,Wang Meiqi²,Wang Zhongfeng¹

Affiliation:

1. Nanjing University,School of Electronic Science and Engineering,Nanjing,China

2. Sun Yat-sen University,School of Integrated Circuits,Shenzhen,China

3. Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10557837.pdf?arnumber=10557837

Reference27 articles.

1. Language models are unsupervised multitask learners;Radford;OpenAI blog,2019

2. GPT-3: Its Nature, Scope, Limits, and Consequences

3. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2020

4. DeiT III: Revenge of the ViT

5. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

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