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Exploring vision transformer layer choosing for semantic segmentation

Exploring vision transformer layer choosing for semantic segmentation

2 May 2023
Fangjian Lin
Yizhe Ma
Sheng Tian
    ViT
ArXivPDFHTML

Papers citing "Exploring vision transformer layer choosing for semantic segmentation"

3 / 3 papers shown
Title
UniNeXt: Exploring A Unified Architecture for Vision Recognition
UniNeXt: Exploring A Unified Architecture for Vision Recognition
Fangjian Lin
Jianlong Yuan
Sitong Wu
Fan Wang
Zhibin Wang
ViT
17
14
0
26 Apr 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,821
0
18 Aug 2016
1