Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with
Bridge Block Reconstruction for IoT Systems

Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems

22 March 2023

Sihyeong Park

Papers citing "Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems"

6 / 6 papers shown

Title
Towards Accurate Post-Training Quantization for Vision Transformer Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 54 68 0 25 Mar 2023
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,213 0 05 Oct 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 180 476 0 12 Aug 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016