MingSun-Tse/Awesome-Efficient-ViT
Recent Advances on Efficient Vision Transformers
This is a curated list of research papers focused on making Vision Transformers more efficient. It helps machine learning researchers and practitioners stay updated on the latest techniques to improve the performance and reduce the resource demands of these powerful image processing models. You get a well-organized collection of academic papers, and you can then explore the details of different efficiency methods.
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Use this if you are a researcher or engineer working with deep learning models, specifically Vision Transformers, and need to find methods to make them run faster or with less memory.
Not ideal if you are looking for ready-to-use software, code implementations, or a general overview of machine learning without a specific focus on Vision Transformer efficiency.
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Jan 11, 2023
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