P2-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer
Author:
Affiliation:
1. School of Electronic Science and Engineering, Nanjing University, Nanjing, China
2. School of Integrated Circuits, Sun Yat-sen University, Shenzhen, China
Funder
National Key Research and Development Program of China
Shenzhen Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/92/10648891/10596041.pdf?arnumber=10596041
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1. An image is worth 16×16 words: Transformers for image recognition at scale;Dosovitskiy;arXiv:2010.11929,2020
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3. LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference
4. ImageNet: A large-scale hierarchical image database
5. Post-training quantization for vision transformer;Liu
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