Multigrained Attention Network for Infrared and Visible Image Fusion
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Hongtao Huo | Chenhong Sui | Zhao Liu | Chang Li | Jing Li | Renhua Wang | Hongtao Huo | Chang Li | Jing Li | Renhua Wang | Zhao Liu | Chenhong Sui
[1] Wei Gao,et al. Image fusion based on non-negative matrix factorization and infrared feature extraction , 2013, 2013 6th International Congress on Image and Signal Processing (CISP).
[2] Rabab Kreidieh Ward,et al. Deep learning for pixel-level image fusion: Recent advances and future prospects , 2018, Inf. Fusion.
[3] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[4] Vps Naidu,et al. Image Fusion Technique using Multi-resolution Singular Value Decomposition , 2011 .
[5] Xiangtao Zheng,et al. Spectral–Spatial Attention Network for Hyperspectral Image Classification , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[6] Josef Kittler,et al. Infrared and Visible Image Fusion using a Deep Learning Framework , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[7] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[8] Shutao Li,et al. Pixel-level image fusion: A survey of the state of the art , 2017, Inf. Fusion.
[9] Weidong Sheng,et al. A Stereo Attention Module for Stereo Image Super-Resolution , 2020, IEEE Signal Processing Letters.
[10] Yu Han,et al. A new image fusion performance metric based on visual information fidelity , 2013, Inf. Fusion.
[11] Juan Cheng,et al. EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention , 2023, IEEE Transactions on Affective Computing.
[12] Yi Liu,et al. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review , 2018, Inf. Fusion.
[13] G. Qu,et al. Information measure for performance of image fusion , 2002 .
[14] Nikolaos Mitianoudis,et al. Pixel-based and region-based image fusion schemes using ICA bases , 2007, Inf. Fusion.
[15] Luciano Alparone,et al. Remote sensing image fusion using the curvelet transform , 2007, Inf. Fusion.
[16] Yufeng Zheng,et al. An advanced image fusion algorithm based on wavelet transform: incorporation with PCA and morphological processing , 2004, IS&T/SPIE Electronic Imaging.
[17] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[18] Jun Huang,et al. Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition. , 2017, Journal of the Optical Society of America. A, Optics, image science, and vision.
[19] Jinsong Su,et al. Neural Machine Translation with Deep Attention , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Wing W. Y. Ng,et al. Global-Local Mutual Attention Model for Text Classification , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[21] Yong Yang,et al. Infrared and Visible Image Fusion Using Visual Saliency Sparse Representation and Detail Injection Model , 2021, IEEE Transactions on Instrumentation and Measurement.
[22] Jiayi Ma,et al. Infrared and visible image fusion methods and applications: A survey , 2018, Inf. Fusion.
[23] R. S. Anand,et al. Multimodal Medical Image Sensor Fusion Model Using Sparse K-SVD Dictionary Learning in Nonsubsampled Shearlet Domain , 2020, IEEE Transactions on Instrumentation and Measurement.
[24] Rohan Ramanath,et al. An Attentive Survey of Attention Models , 2019, ACM Trans. Intell. Syst. Technol..
[25] Alexander Toet,et al. Image fusion by a ration of low-pass pyramid , 1989, Pattern Recognit. Lett..
[26] Hongtao Huo,et al. Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance , 2020, Inf. Sci..
[27] Jiayi Ma,et al. Infrared and visible image fusion via gradient transfer and total variation minimization , 2016, Inf. Fusion.
[28] Zhen Li,et al. Coupled GAN With Relativistic Discriminators for Infrared and Visible Images Fusion , 2019, IEEE Sensors Journal.
[29] Jing Li,et al. Poisson Reconstruction-Based Fusion of Infrared and Visible Images via Saliency Detection , 2019, IEEE Access.
[30] Yue Qi,et al. Infrared and visible image fusion method based on saliency detection in sparse domain , 2017 .
[31] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Yi Chai,et al. A novel multi-modality image fusion method based on image decomposition and sparse representation , 2017, Inf. Sci..
[33] Qi Li,et al. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition , 2015 .
[34] Hui Li,et al. DenseFuse: A Fusion Approach to Infrared and Visible Images , 2018, IEEE Transactions on Image Processing.
[35] J. Wesley Roberts,et al. Assessment of image fusion procedures using entropy, image quality, and multispectral classification , 2008 .
[36] Wei Yu,et al. Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators , 2019, IJCAI.
[37] Laure J. Chipman,et al. Wavelets and image fusion , 1995, Proceedings., International Conference on Image Processing.
[38] Junjun Jiang,et al. FusionGAN: A generative adversarial network for infrared and visible image fusion , 2019, Inf. Fusion.
[39] Yu Liu,et al. A general framework for image fusion based on multi-scale transform and sparse representation , 2015, Inf. Fusion.
[40] Paul M. de Zeeuw,et al. Fast saliency-aware multi-modality image fusion , 2013, Neurocomputing.
[41] Hongtao Huo,et al. AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks , 2021, IEEE Transactions on Multimedia.
[42] Nikos Komodakis,et al. Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer , 2016, ICLR.
[43] Xiaojie Guo,et al. U2Fusion: A Unified Unsupervised Image Fusion Network , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Yu Liu,et al. Infrared and visible image fusion with convolutional neural networks , 2017, Int. J. Wavelets Multiresolution Inf. Process..