UperFormer: A Multi-scale Transformer-based Decoder for Semantic Segmentation

25 November 2022

Papers citing "UperFormer: A Multi-scale Transformer-based Decoder for Semantic Segmentation"

8 / 8 papers shown

Title
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 203 1,801 0 18 Nov 2021
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows Xiaoyi Dong Jianmin Bao Dongdong Chen Weiming Zhang Nenghai Yu Lu Yuan Dong Chen B. Guo ViT 134 976 0 01 Jul 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 43 765 0 28 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 240 4,990 0 31 May 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 90 2,879 0 12 May 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 491 3,709 0 24 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 176 2,893 0 31 Dec 2020
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 120 4,042 0 25 Feb 2019