PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers

22 March 2022

Papers citing "PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers"

8 / 8 papers shown

Title
Accelerating Transfer Learning with Near-Data Computation on Cloud Object Stores Arsany Guirguis Diana Petrescu Florin Dinu D. Quoc Javier Picorel R. Guerraoui 40 0 0 16 Oct 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 225 402 0 24 Jan 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 274 2,603 0 04 May 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
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 285 2,015 0 28 Jul 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 205 344 0 22 Jan 2020
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