Representation Separation for Semantic Segmentation with Vision Transformers

28 December 2022

Papers citing "Representation Separation for Semantic Segmentation with Vision Transformers"

6 / 6 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Decoupled Dynamic Filter Networks Jingkai Zhou Varun Jampani Zhixiong Pi Qiong Liu Ming-Hsuan Yang 43 107 0 29 Apr 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 263 3,538 0 24 Feb 2021
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes Yuanduo Hong Huihui Pan Weichao Sun Yisong Jia SSeg 134 254 0 15 Jan 2021
AlignSeg: Feature-Aligned Segmentation Networks Zilong Huang Yunchao Wei Xinggang Wang Wenyu Liu Thomas S. Huang Humphrey Shi SSeg 132 145 0 24 Feb 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019