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MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
Author(s) -
Zhongzhi Yu,
Yonggan Fu,
Sicheng Li,
Chaojian Li,
Yingyan Lin
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i8.20879
Subject(s) - computer science , trimming , robustness (evolution) , artificial intelligence , reinforcement learning , computational complexity theory , software deployment , transformer , computer engineering , computer vision , distributed computing , machine learning , algorithm , biochemistry , chemistry , physics , quantum mechanics , voltage , gene , operating system

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