Full Contextual Attention for Multi-resolution Transformers in Semantic
Segmentation

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation

15 December 2022

Clément Rambour

Alexandre Hostettler

Papers citing "Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation"

7 / 7 papers shown

Title
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships Gracile Astlin Pereira Muhammad Hussain ViT 34 7 0 27 Aug 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 43 5 0 01 Nov 2023
TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research William Ndzimbong Cyril Fourniol Loic Themyr Nicolas Thome Yvonne Keeza ... J. Marescaux Daniel George Didier Mutter Alexandre Hostettler Toby Collins 23 0 0 19 Oct 2023
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 74 96 0 12 Jul 2021
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
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