You Only Need Less Attention at Each Stage in Vision Transformers

1 June 2024

Papers citing "You Only Need Less Attention at Each Stage in Vision Transformers"

7 / 7 papers shown

Title
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers Cong Wei Brendan Duke R. Jiang P. Aarabi Graham W. Taylor Florian Shkurti ViT 16 7 0 24 Mar 2023
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 247 2,898 0 24 Feb 2021
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 122 3,574 0 09 Dec 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 216 1,501 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 408 9,912 0 02 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 242 31,717 0 08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 200 9,999 0 18 May 2015