DynamicViT
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Implement a method that improves the efficiency of vision transformers by reducing unnecessary data processing while maintaining accuracy.
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Free · no card · unsubscribe anytime[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
DynamicViT has 668 stars on GitHub. It has been forked 82 times. DynamicViT is written mainly in Jupyter Notebook. It has been in active development since 2021. DynamicViT is available under the MIT license. Its main topics are computer-vision, deep-learning, image-classification, vision-transformers.
What is DynamicViT?
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Is DynamicViT open source?
DynamicViT is an open-source project. It is released under the MIT license.
Is DynamicViT free?
Yes. DynamicViT is free and open source — you can use, modify and self-host it.
What license does DynamicViT use?
DynamicViT is available under the MIT license.
What language is DynamicViT written in?
DynamicViT is written mainly in Jupyter Notebook.
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