[1] Shen Ying, Huang Chunhong, Huang Feng, et al. Infrared visible image fusion: review of key technologies [J]. Infrared Laser Engineering, 2021, 50(9): 20200467. (in Chinese)
[2] Yali Shen. RGBT dual-model Siamese tracking network with feature fusion. Infrared and Laser Engineering, 50, 20200459(2021).
[3] J Chen, K Wu, Z Cheng, et al. A saliency-based multiscale approach for infrared and visible image fusion. Signal Processing, 182, 107936(2021).
[4] Huan Kewei, Li Xiangyang, Cao Yutong, et al. Infrared visible image fusion with convolutional neural wk NSST [J]. Infrared Laser Engineering, 2022, 51(3): 20210139. (in Chinese)
[5] An W B, Wang H M. Infrared visible image fusion with supervised convolutional neural wk [J]. OptikInternational Journal f Light Electron Optics, 2020, 219(17): 165120.
[6] Y Pan, D Pi, I A Khan, et al. DenseNetFuse: A study of deep unsupervised DenseNet to infrared and visual image fusion. Journal of Ambient Intelligence and Humanized Computing, 02820(2021).
[7] I J Goodfellow, J Pouget-Abadie, M Mirza, et al. Generative adversarial networks. Advances in Neural Information Processing Systems, 3, 2672-2680(2014).
[8] J Ma, Y Wei, P Liang, et al. FusionGAN: A generative adversarial network for infrared and visible image fusion. Information Fusion, 48, 11-26(2019).
[9] J Ma, H Xu, J Jiang, et al. DDcGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion. IEEE Transactions on Image Processing, 29, 4980-4995(2020).
[10] Arjovsky M, Chintala S, Bottou L. Wasserstein GAN [J]. arXiv, 2017: 1701. 07875v1.
[11] Miyato T, Kataoka T, Koyama M, et al. Spectral nmalization f generative adversarial wks [C]International Conference on Learning Representations, 2018.
[12] Jégou S, Drozdzal M, Vazquez D, et al. The one hundred layers tiramisu: Fully convolutional denses f semantic segmentation [C]2017 IEEE Conference on Computer Vision Pattern Recognition Wkshops (CVPRW), IEEE, 2016.
[13] X Li, You A, Zhu Z, et al. Semantic flow f fast accurate scene parsing [J]. arXiv, 2020: 2002.10120.
[14] Karen S, rew Z. Very deep convolutional wks f largescale image recognition[J]. arXiv, 2014: 1409.1556.
[15] Qinglei Du, Han Xu, Yongoing Ma, et al. Fusing infrared and visible images of different resolutions via total variation model. Sensors, 18, 3827(2018).
[16] Li H, Wu X J, Kittler J. Infrared visible image fusion using a deep learning framewk[J]. arXiv, 2018: 1804.06992.
[17] Zhao Z, Xu S, Zhang C, et al. DIDFuse: Deep image decomposition f infrared visible image fusion [C]TwentyNinth International Joint Conference on Artificial Intelligence Seventeenth Pacific Rim International Conference on Artificial Intelligence, 2020.