Artículos de revistas sobre el tema "Adversarial Information Fusion"
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Kott, Alexander, Rajdeep Singh, William M. McEneaney y Wes Milks. "Hypothesis-driven information fusion in adversarial, deceptive environments". Information Fusion 12, n.º 2 (abril de 2011): 131–44. http://dx.doi.org/10.1016/j.inffus.2010.09.001.
Texto completoWu, Zhaoli, Xuehan Wu, Yuancai Zhu, Jingxuan Zhai, Haibo Yang, Zhiwei Yang, Chao Wang y Jilong Sun. "Research on Multimodal Image Fusion Target Detection Algorithm Based on Generative Adversarial Network". Wireless Communications and Mobile Computing 2022 (24 de enero de 2022): 1–10. http://dx.doi.org/10.1155/2022/1740909.
Texto completoYuan, C., C. Q. Sun, X. Y. Tang y R. F. Liu. "FLGC-Fusion GAN: An Enhanced Fusion GAN Model by Importing Fully Learnable Group Convolution". Mathematical Problems in Engineering 2020 (22 de octubre de 2020): 1–13. http://dx.doi.org/10.1155/2020/6384831.
Texto completoChen, Xiaoyu, Zhijie Teng, Yingqi Liu, Jun Lu, Lianfa Bai y Jing Han. "Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception". Entropy 24, n.º 10 (21 de septiembre de 2022): 1327. http://dx.doi.org/10.3390/e24101327.
Texto completoJia Ruiming, 贾瑞明, 李彤 Li Tong, 刘圣杰 Liu Shengjie, 崔家礼 Cui Jiali y 袁飞 Yuan Fei. "Infrared Simulation Based on Cascade Multi-Scale Information Fusion Adversarial Network". Acta Optica Sinica 40, n.º 18 (2020): 1810001. http://dx.doi.org/10.3788/aos202040.1810001.
Texto completoSong, Xuhui, Hongtao Yu, Shaomei Li y Huansha Wang. "Robust Chinese Named Entity Recognition Based on Fusion Graph Embedding". Electronics 12, n.º 3 (22 de enero de 2023): 569. http://dx.doi.org/10.3390/electronics12030569.
Texto completoXu, Dongdong, Yongcheng Wang, Shuyan Xu, Kaiguang Zhu, Ning Zhang y Xin Zhang. "Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network". Applied Sciences 10, n.º 2 (11 de enero de 2020): 554. http://dx.doi.org/10.3390/app10020554.
Texto completoTang, Wei, Yu Liu, Chao Zhang, Juan Cheng, Hu Peng y Xun Chen. "Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks". Computational and Mathematical Methods in Medicine 2019 (4 de diciembre de 2019): 1–11. http://dx.doi.org/10.1155/2019/5450373.
Texto completoHe, Gang, Jiaping Zhong, Jie Lei, Yunsong Li y Weiying Xie. "Hyperspectral Pansharpening Based on Spectral Constrained Adversarial Autoencoder". Remote Sensing 11, n.º 22 (18 de noviembre de 2019): 2691. http://dx.doi.org/10.3390/rs11222691.
Texto completoZhou-xiang Jin, Zhou-xiang Jin y Hao Qin Zhou-xiang Jin. "Generative Adversarial Network Based on Multi-feature Fusion Strategy for Motion Image Deblurring". 電腦學刊 33, n.º 1 (febrero de 2022): 031–41. http://dx.doi.org/10.53106/199115992022023301004.
Texto completoMa, Xiaole, Zhihai Wang, Shaohai Hu y Shichao Kan. "Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network". Entropy 24, n.º 5 (21 de abril de 2022): 582. http://dx.doi.org/10.3390/e24050582.
Texto completoWang, Min, Congyan Lang, Liqian Liang, Songhe Feng, Tao Wang y Yutong Gao. "Fine-Grained Semantic Image Synthesis with Object-Attention Generative Adversarial Network". ACM Transactions on Intelligent Systems and Technology 12, n.º 5 (31 de octubre de 2021): 1–18. http://dx.doi.org/10.1145/3470008.
Texto completoWang, Jingjing, Jinwen Ren, Hongzhen Li, Zengzhao Sun, Zhenye Luan, Zishu Yu, Chunhao Liang, Yashar E. Monfared, Huaqiang Xu y Qing Hua. "DDGANSE: Dual-Discriminator GAN with a Squeeze-and-Excitation Module for Infrared and Visible Image Fusion". Photonics 9, n.º 3 (3 de marzo de 2022): 150. http://dx.doi.org/10.3390/photonics9030150.
Texto completoMinahil, Syeda, Jun-Hyung Kim y Youngbae Hwang. "Patch-Wise Infrared and Visible Image Fusion Using Spatial Adaptive Weights". Applied Sciences 11, n.º 19 (5 de octubre de 2021): 9255. http://dx.doi.org/10.3390/app11199255.
Texto completoAbdalla, Younis, M. Tariq Iqbal y Mohamed Shehata. "Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network". Information 10, n.º 9 (16 de septiembre de 2019): 286. http://dx.doi.org/10.3390/info10090286.
Texto completoHuang, Min y Jinghan Yin. "Research on Adversarial Domain Adaptation Method and Its Application in Power Load Forecasting". Mathematics 10, n.º 18 (6 de septiembre de 2022): 3223. http://dx.doi.org/10.3390/math10183223.
Texto completoFu, Yu, Xiao-Jun Wu y Tariq Durrani. "Image fusion based on generative adversarial network consistent with perception". Information Fusion 72 (agosto de 2021): 110–25. http://dx.doi.org/10.1016/j.inffus.2021.02.019.
Texto completoMa, Jiayi, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu y Junjun Jiang. "Infrared and visible image fusion via detail preserving adversarial learning". Information Fusion 54 (febrero de 2020): 85–98. http://dx.doi.org/10.1016/j.inffus.2019.07.005.
Texto completoNandhini Abirami, R., P. M. Durai Raj Vincent, Kathiravan Srinivasan, K. Suresh Manic y Chuan-Yu Chang. "Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks". Behavioural Neurology 2022 (14 de abril de 2022): 1–12. http://dx.doi.org/10.1155/2022/6878783.
Texto completoZhao, Yuqing, Guangyuan Fu, Hongqiao Wang y Shaolei Zhang. "The Fusion of Unmatched Infrared and Visible Images Based on Generative Adversarial Networks". Mathematical Problems in Engineering 2020 (20 de marzo de 2020): 1–12. http://dx.doi.org/10.1155/2020/3739040.
Texto completoZhao, Rui, Hengyu Li, Jingyi Liu, Huayan Pu, Shaorong Xie y Jun Luo. "A video inpainting method for unmanned vehicle based on fusion of time series optical flow information and spatial information". International Journal of Advanced Robotic Systems 18, n.º 5 (1 de septiembre de 2021): 172988142110531. http://dx.doi.org/10.1177/17298814211053103.
Texto completoPu, Can, Runzi Song, Radim Tylecek, Nanbo Li y Robert Fisher. "SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks". Remote Sensing 11, n.º 5 (27 de febrero de 2019): 487. http://dx.doi.org/10.3390/rs11050487.
Texto completoLu, Ting, Kexin Ding, Wei Fu, Shutao Li y Anjing Guo. "Coupled adversarial learning for fusion classification of hyperspectral and LiDAR data". Information Fusion 93 (mayo de 2023): 118–31. http://dx.doi.org/10.1016/j.inffus.2022.12.020.
Texto completoFu, Weiyu y Lixia Wang. "Component-Based Software Testing Method Based on Deep Adversarial Network". Security and Communication Networks 2022 (12 de octubre de 2022): 1–11. http://dx.doi.org/10.1155/2022/4231083.
Texto completoZhang, Jinsong, Haiyan Chen y Zhiliang Wang. "Droplet Image Reconstruction Based on Generative Adversarial Network". Journal of Physics: Conference Series 2216, n.º 1 (1 de marzo de 2022): 012096. http://dx.doi.org/10.1088/1742-6596/2216/1/012096.
Texto completoYang, Yuanbo, Qunbo Lv, Baoyu Zhu, Xuefu Sui, Yu Zhang y Zheng Tan. "One-Sided Unsupervised Image Dehazing Network Based on Feature Fusion and Multi-Scale Skip Connection". Applied Sciences 12, n.º 23 (2 de diciembre de 2022): 12366. http://dx.doi.org/10.3390/app122312366.
Texto completoZhang, Jiahuan, Keisuke Maeda, Takahiro Ogawa y Miki Haseyama. "Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks". Sensors 22, n.º 14 (20 de julio de 2022): 5431. http://dx.doi.org/10.3390/s22145431.
Texto completoFang, Jing, Xiaole Ma, Jingjing Wang, Kai Qin, Shaohai Hu y Yuefeng Zhao. "A Noisy SAR Image Fusion Method Based on NLM and GAN". Entropy 23, n.º 4 (30 de marzo de 2021): 410. http://dx.doi.org/10.3390/e23040410.
Texto completoZhang, Liping, Weisheng Li, Hefeng Huang y Dajiang Lei. "A Pansharpening Generative Adversarial Network with Multilevel Structure Enhancement and a Multistream Fusion Architecture". Remote Sensing 13, n.º 12 (21 de junio de 2021): 2423. http://dx.doi.org/10.3390/rs13122423.
Texto completoZhu, Baoyu, Qunbo Lv y Zheng Tan. "Adaptive Multi-Scale Fusion Blind Deblurred Generative Adversarial Network Method for Sharpening Image Data". Drones 7, n.º 2 (30 de enero de 2023): 96. http://dx.doi.org/10.3390/drones7020096.
Texto completoMa, Shuai, Jianfeng Cui, Weidong Xiao y Lijuan Liu. "Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms". Computational Intelligence and Neuroscience 2022 (11 de agosto de 2022): 1–17. http://dx.doi.org/10.1155/2022/1577778.
Texto completoLiu, Yu, Yu Shi, Fuhao Mu, Juan Cheng y Xun Chen. "Glioma Segmentation-Oriented Multi-Modal MR Image Fusion With Adversarial Learning". IEEE/CAA Journal of Automatica Sinica 9, n.º 8 (agosto de 2022): 1528–31. http://dx.doi.org/10.1109/jas.2022.105770.
Texto completoGu, Yansong, Xinya Wang, Can Zhang y Baiyang Li. "Advanced Driving Assistance Based on the Fusion of Infrared and Visible Images". Entropy 23, n.º 2 (19 de febrero de 2021): 239. http://dx.doi.org/10.3390/e23020239.
Texto completoChen, Lei, Jun Han y Feng Tian. "Infrared and visible image fusion using two-layer generative adversarial network". Journal of Intelligent & Fuzzy Systems 40, n.º 6 (21 de junio de 2021): 11897–913. http://dx.doi.org/10.3233/jifs-210041.
Texto completoHuang, Ningbo, Gang Zhou, Mengli Zhang, Meng Zhang y Ze Yu. "Modelling the Latent Semantics of Diffusion Sources in Information Cascade Prediction". Computational Intelligence and Neuroscience 2021 (29 de septiembre de 2021): 1–12. http://dx.doi.org/10.1155/2021/7880215.
Texto completoYang, Xiuzhu, Xinyue Zhang, Yi Ding y Lin Zhang. "Indoor Activity and Vital Sign Monitoring for Moving People with Multiple Radar Data Fusion". Remote Sensing 13, n.º 18 (21 de septiembre de 2021): 3791. http://dx.doi.org/10.3390/rs13183791.
Texto completoChen, Xianglong, Haipeng Wang, Yaohui Liang, Ying Meng y Shifeng Wang. "A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network". Sensors 22, n.º 1 (31 de diciembre de 2021): 304. http://dx.doi.org/10.3390/s22010304.
Texto completoYin, Jian, Zhibo Zhou, Shaohua Xu, Ruiping Yang y Kun Liu. "A Generative Adversarial Network Fused with Dual-Attention Mechanism and Its Application in Multitarget Image Fine Segmentation". Computational Intelligence and Neuroscience 2021 (18 de diciembre de 2021): 1–16. http://dx.doi.org/10.1155/2021/2464648.
Texto completoLiu, Shangwang y Lihan Yang. "BPDGAN: A GAN-Based Unsupervised Back Project Dense Network for Multi-Modal Medical Image Fusion". Entropy 24, n.º 12 (14 de diciembre de 2022): 1823. http://dx.doi.org/10.3390/e24121823.
Texto completoDong, Yu, Yihao Liu, He Zhang, Shifeng Chen y Yu Qiao. "FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 10729–36. http://dx.doi.org/10.1609/aaai.v34i07.6701.
Texto completoDutta, Anjan y Zeynep Akata. "Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval". International Journal of Computer Vision 128, n.º 10-11 (29 de julio de 2020): 2684–703. http://dx.doi.org/10.1007/s11263-020-01350-x.
Texto completoVizil’ter, Yu V., O. V. Vygolov, D. V. Komarov y M. A. Lebedev. "Fusion of Images of Different Spectra Based on Generative Adversarial Networks". Journal of Computer and Systems Sciences International 58, n.º 3 (mayo de 2019): 441–53. http://dx.doi.org/10.1134/s1064230719030201.
Texto completoGao, Jianhao, Qiangqiang Yuan, Jie Li, Hai Zhang y Xin Su. "Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks". Remote Sensing 12, n.º 1 (5 de enero de 2020): 191. http://dx.doi.org/10.3390/rs12010191.
Texto completoChen, Zhuo, Ming Fang, Xu Chai, Feiran Fu y Lihong Yuan. "U-GAN Model for Infrared and Visible Images Fusion". Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, n.º 4 (agosto de 2020): 904–12. http://dx.doi.org/10.1051/jnwpu/20203840904.
Texto completoZhou, Tao, Qi Li, Huiling Lu, Xiangxiang Zhang y Qianru Cheng. "Hybrid Multimodal Medical Image Fusion Method Based on LatLRR and ED-D2GAN". Applied Sciences 12, n.º 24 (12 de diciembre de 2022): 12758. http://dx.doi.org/10.3390/app122412758.
Texto completoYin, Xiao-Xia, Lihua Yin y Sillas Hadjiloucas. "Pattern Classification Approaches for Breast Cancer Identification via MRI: State-Of-The-Art and Vision for the Future". Applied Sciences 10, n.º 20 (15 de octubre de 2020): 7201. http://dx.doi.org/10.3390/app10207201.
Texto completoHou, Jilei, Dazhi Zhang, Wei Wu, Jiayi Ma y Huabing Zhou. "A Generative Adversarial Network for Infrared and Visible Image Fusion Based on Semantic Segmentation". Entropy 23, n.º 3 (21 de marzo de 2021): 376. http://dx.doi.org/10.3390/e23030376.
Texto completode Villiers, James G. y Rensu P. Theart. "Predicting mitochondrial fission, fusion and depolarisation event locations from a single z-stack". PLOS ONE 18, n.º 3 (8 de marzo de 2023): e0271151. http://dx.doi.org/10.1371/journal.pone.0271151.
Texto completoWang, Yang. "Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion". ACM Transactions on Multimedia Computing, Communications, and Applications 17, n.º 1s (31 de marzo de 2021): 1–25. http://dx.doi.org/10.1145/3408317.
Texto completoZhang, Junjie, Zhouyin Cai, Fansheng Chen y Dan Zeng. "Hyperspectral Image Denoising via Adversarial Learning". Remote Sensing 14, n.º 8 (7 de abril de 2022): 1790. http://dx.doi.org/10.3390/rs14081790.
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