Convolutional Embedding Makes Hierarchical Vision Transformer Stronger

27 July 2022

Papers citing "Convolutional Embedding Makes Hierarchical Vision Transformer Stronger"

9 / 9 papers shown

Title
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention Yulong Shi Mingwei Sun Yongshuai Wang Hui Sun Zengqiang Chen 34 4 0 10 Oct 2023
Token Transformer: Can class token help window-based transformer build better long-range interactions? Jia-ju Mao Yuan Chang Xuesong Yin 26 0 0 11 Nov 2022
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 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 277 3,623 0 24 Feb 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 979 0 27 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
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
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 258 36,371 0 25 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,828 0 18 Aug 2016