Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion

Author:

Li Jiawei1ORCID,Chen Jiansheng1ORCID,Liu Jinyuan2ORCID,Ma Huimin1ORCID

Affiliation:

1. University of Science and Technology Beijing, Beijing, China

2. Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Reference47 articles.

1. V Aslantas and Emre Bendes . 2015. A new image quality metric for image fusion: The sum of the correlations of differences. Aeu-international Journal of electronics and communications , Vol. 69 , 12 ( 2015 ), 1890--1896. V Aslantas and Emre Bendes. 2015. A new image quality metric for image fusion: The sum of the correlations of differences. Aeu-international Journal of electronics and communications, Vol. 69, 12 (2015), 1890--1896.

2. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

3. MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes

4. Yu Han , Yunze Cai , Yin Cao , and Xiaoming Xu. 2013. A new image fusion performance metric based on visual information fidelity. Information fusion , Vol. 14 , 2 ( 2013 ), 127--135. Yu Han, Yunze Cai, Yin Cao, and Xiaoming Xu. 2013. A new image fusion performance metric based on visual information fidelity. Information fusion, Vol. 14, 2 (2013), 127--135.

5. Squeeze-and-Excitation Networks

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