Exploring and Improving Mobile Level Vision Transformers

30 August 2021

Papers citing "Exploring and Improving Mobile Level Vision Transformers"

6 / 6 papers shown

Title
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning Zhenglun Kong Peiyan Dong Xiaolong Ma Xin Meng Mengshu Sun ... Geng Yuan Bin Ren Minghai Qin H. Tang Yanzhi Wang ViT 34 144 0 27 Dec 2021
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation Zhongzhi Yu Y. Fu Sicheng Li Chaojian Li Yingyan Lin ViT 33 19 0 21 Dec 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 289 1,524 0 27 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 289 3,623 0 24 Feb 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
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016