HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Author:

Dong Peiyan1,Sun Mengshu1,Lu Alec2,Xie Yanyue1,Liu Kenneth2,Kong Zhenglun1,Meng Xin1,Li Zhengang1,Lin Xue1,Fang Zhenman2,Wang Yanzhi1

Affiliation:

1. Northeastern University

2. Simon Fraser University

Publisher

IEEE

Reference66 articles.

1. Unified visual transformer compression;yu;International Conference on Learning Representations,2022

2. Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs

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