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MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training

MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training

17 April 2024
Jiayang Li
Junjun Jiang
Pengwei Liang
Jiayi Ma
Liqiang Nie
ArXivPDFHTML

Papers citing "MaeFuse: Transferring Omni Features with Pretrained Masked Autoencoders for Infrared and Visible Image Fusion via Guided Training"

5 / 5 papers shown
Title
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible
  Image Fusion Approach
CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach
Hui Li
Xiao-Jun Wu
26
19
0
15 Jun 2024
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual
  Object Detection
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Feng Liu
Xiaosong Zhang
Zhiliang Peng
Zonghao Guo
Fang Wan
Xian-Wei Ji
QiXiang Ye
ObjD
30
20
0
19 May 2022
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
255
7,337
0
11 Nov 2021
VIFB: A Visible and Infrared Image Fusion Benchmark
VIFB: A Visible and Infrared Image Fusion Benchmark
Xingchen Zhang
P. Ye
G. Xiao
89
146
0
09 Feb 2020
DenseFuse: A Fusion Approach to Infrared and Visible Images
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li
Xiaojun Wu
91
980
0
23 Apr 2018
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