Web: http://arxiv.org/abs/2201.10152

Jan. 26, 2022, 2:10 a.m. | Dongyu Rao, Xiao-Jun Wu, Tianyang Xu, Guoyang Chen

cs.CV updates on arXiv.org arxiv.org

Deep learning-based image fusion approaches have obtained wide attention in
recent years, achieving promising performance in terms of visual perception.
However, the fusion module in the current deep learning-based methods suffers
from two limitations, \textit{i.e.}, manually designed fusion function, and
input-independent network learning. In this paper, we propose an unsupervised
adaptive image fusion method to address the above issues. We propose a feature
mutual mapping fusion module and dual-branch multi-scale autoencoder. More
specifically, we construct a global map to measure …

arxiv cv unsupervised

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