Artículos de revistas sobre el tema "Dilated convolution"
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Wang, Wei, Yiyang Hu, Ting Zou, Hongmei Liu, Jin Wang y Xin Wang. "A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers". Computational Intelligence and Neuroscience 2020 (1 de agosto de 2020): 1–10. http://dx.doi.org/10.1155/2020/8817849.
Texto completoPeng, Wenli, Shenglai Zhen, Xin Chen, Qianjing Xiong y Benli Yu. "Study on convolutional recurrent neural networks for speech enhancement in fiber-optic microphones". Journal of Physics: Conference Series 2246, n.º 1 (1 de abril de 2022): 012084. http://dx.doi.org/10.1088/1742-6596/2246/1/012084.
Texto completoZhao, Feng, Junjie Zhang, Zhe Meng y Hanqiang Liu. "Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification". Remote Sensing 13, n.º 17 (26 de agosto de 2021): 3396. http://dx.doi.org/10.3390/rs13173396.
Texto completoChim, Seyha, Jin-Gu Lee y Ho-Hyun Park. "Dilated Skip Convolution for Facial Landmark Detection". Sensors 19, n.º 24 (4 de diciembre de 2019): 5350. http://dx.doi.org/10.3390/s19245350.
Texto completoSong, Zhendong, Yupeng Ma, Fang Tan y Xiaoyi Feng. "Hybrid Dilated and Recursive Recurrent Convolution Network for Time-Domain Speech Enhancement". Applied Sciences 12, n.º 7 (29 de marzo de 2022): 3461. http://dx.doi.org/10.3390/app12073461.
Texto completoTang, Jingfan, Meijia Zhou, Pengfei Li, Min Zhang y Ming Jiang. "Crowd Counting Based on Multiresolution Density Map and Parallel Dilated Convolution". Scientific Programming 2021 (20 de enero de 2021): 1–10. http://dx.doi.org/10.1155/2021/8831458.
Texto completoZhang, Jianming, Chaoquan Lu, Jin Wang, Lei Wang y Xiao-Guang Yue. "Concrete Cracks Detection Based on FCN with Dilated Convolution". Applied Sciences 9, n.º 13 (1 de julio de 2019): 2686. http://dx.doi.org/10.3390/app9132686.
Texto completoCao, Ruifen, Xi Pei, Ning Ge y Chunhou Zheng. "Clinical Target Volume Auto-Segmentation of Esophageal Cancer for Radiotherapy After Radical Surgery Based on Deep Learning". Technology in Cancer Research & Treatment 20 (1 de enero de 2021): 153303382110342. http://dx.doi.org/10.1177/15330338211034284.
Texto completoWang, Ran, Ruyu Shi, Xiong Hu y Changqing Shen. "Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks". Shock and Vibration 2021 (25 de enero de 2021): 1–11. http://dx.doi.org/10.1155/2021/6616861.
Texto completoMadych, W. R. "Limits of Dilated Convolution Transforms". SIAM Journal on Mathematical Analysis 16, n.º 3 (mayo de 1985): 551–58. http://dx.doi.org/10.1137/0516041.
Texto completoZhang, Guokai, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo y Jianwei Lu. "3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification". Symmetry 10, n.º 9 (1 de septiembre de 2018): 376. http://dx.doi.org/10.3390/sym10090376.
Texto completoHeo, Woon-Haeng, Hyemi Kim y Oh-Wook Kwon. "Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents". Applied Sciences 10, n.º 5 (3 de marzo de 2020): 1727. http://dx.doi.org/10.3390/app10051727.
Texto completoContreras, Jonatan, Martine Ceberio y Vladik Kreinovich. "Why Dilated Convolutional Neural Networks: A Proof of Their Optimality". Entropy 23, n.º 6 (18 de junio de 2021): 767. http://dx.doi.org/10.3390/e23060767.
Texto completoViriyasaranon, Thanaporn, Seung-Hoon Chae y Jang-Hwan Choi. "MFA-net: Object detection for complex X-ray cargo and baggage security imagery". PLOS ONE 17, n.º 9 (1 de septiembre de 2022): e0272961. http://dx.doi.org/10.1371/journal.pone.0272961.
Texto completoHu, Yicheng, Shufang Tian y Jia Ge. "Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification". Remote Sensing 15, n.º 19 (1 de octubre de 2023): 4796. http://dx.doi.org/10.3390/rs15194796.
Texto completoWu, Junjie, Wen Liu y Yoshihisa Maruyama. "Automated Road-Marking Segmentation via a Multiscale Attention-Based Dilated Convolutional Neural Network Using the Road Marking Dataset". Remote Sensing 14, n.º 18 (9 de septiembre de 2022): 4508. http://dx.doi.org/10.3390/rs14184508.
Texto completoKu, Tao, Qirui Yang y Hao Zhang. "Multilevel feature fusion dilated convolutional network for semantic segmentation". International Journal of Advanced Robotic Systems 18, n.º 2 (1 de marzo de 2021): 172988142110076. http://dx.doi.org/10.1177/17298814211007665.
Texto completoZhuang, Zilong, Huichun Lv, Jie Xu, Zizhao Huang y Wei Qin. "A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions". Applied Sciences 9, n.º 9 (1 de mayo de 2019): 1823. http://dx.doi.org/10.3390/app9091823.
Texto completoJin, Dawei, Ruizhi Kang, Hongjun Zhang, Wening Hao y Gang Chen. "Improving Abstractive Summarization via Dilated Convolution". Journal of Physics: Conference Series 1616 (agosto de 2020): 012078. http://dx.doi.org/10.1088/1742-6596/1616/1/012078.
Texto completoFang, Yuchun, Yifan Li, Xiaokang Tu, Taifeng Tan y Xin Wang. "Face completion with Hybrid Dilated Convolution". Signal Processing: Image Communication 80 (febrero de 2020): 115664. http://dx.doi.org/10.1016/j.image.2019.115664.
Texto completoZhao, Haixia, You Zhou, Tingting Bai y Yuanzhong Chen. "A U-Net Based Multi-Scale Deformable Convolution Network for Seismic Random Noise Suppression". Remote Sensing 15, n.º 18 (17 de septiembre de 2023): 4569. http://dx.doi.org/10.3390/rs15184569.
Texto completoHu, Guoping, Fangzheng Zhao y Bingqi Liu. "Estimation of the Two-Dimensional Direction of Arrival for Low-Elevation and Non-Low-Elevation Targets Based on Dilated Convolutional Networks". Remote Sensing 15, n.º 12 (14 de junio de 2023): 3117. http://dx.doi.org/10.3390/rs15123117.
Texto completoMa, Hao, Chao Chen, Qing Zhu, Haitao Yuan, Liming Chen y Minglei Shu. "An ECG Signal Classification Method Based on Dilated Causal Convolution". Computational and Mathematical Methods in Medicine 2021 (2 de febrero de 2021): 1–10. http://dx.doi.org/10.1155/2021/6627939.
Texto completoLin, Yingjie y Jianning Wu. "A Novel Multichannel Dilated Convolution Neural Network for Human Activity Recognition". Mathematical Problems in Engineering 2020 (11 de julio de 2020): 1–10. http://dx.doi.org/10.1155/2020/5426532.
Texto completoRahman, Takowa, Md Saiful Islam y Jia Uddin. "MRI-Based Brain Tumor Classification Using a Dilated Parallel Deep Convolutional Neural Network". Digital 4, n.º 3 (28 de junio de 2024): 529–54. http://dx.doi.org/10.3390/digital4030027.
Texto completoKhotimah, Wijayanti Nurul, Farid Boussaid, Ferdous Sohel, Lian Xu, David Edwards, Xiu Jin y Mohammed Bennamoun. "SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification". Remote Sensing 14, n.º 17 (30 de agosto de 2022): 4288. http://dx.doi.org/10.3390/rs14174288.
Texto completoNi, Jian, Rui Wang y Jing Tang. "ADSSD: Improved Single-Shot Detector with Attention Mechanism and Dilated Convolution". Applied Sciences 13, n.º 6 (22 de marzo de 2023): 4038. http://dx.doi.org/10.3390/app13064038.
Texto completoXu, Jiawei, Jie Wu, Yu Lei y Yuxiang Gu. "Application of Pseudo-Three-Dimensional Residual Network to Classify the Stages of Moyamoya Disease". Brain Sciences 13, n.º 5 (29 de abril de 2023): 742. http://dx.doi.org/10.3390/brainsci13050742.
Texto completoWang, Yanjie, Shiyu Hu, Guodong Wang, Chenglizhao Chen y Zhenkuan Pan. "Multi-scale dilated convolution of convolutional neural network for crowd counting". Multimedia Tools and Applications 79, n.º 1-2 (17 de octubre de 2019): 1057–73. http://dx.doi.org/10.1007/s11042-019-08208-6.
Texto completoWang, Yanjie, Guodong Wang, Chenglizhao Chen y Zhenkuan Pan. "Multi-scale dilated convolution of convolutional neural network for image denoising". Multimedia Tools and Applications 78, n.º 14 (23 de febrero de 2019): 19945–60. http://dx.doi.org/10.1007/s11042-019-7377-y.
Texto completoDeng, Feiyue, Yan Bi, Yongqiang Liu y Shaopu Yang. "Deep-Learning-Based Remaining Useful Life Prediction Based on a Multi-Scale Dilated Convolution Network". Mathematics 9, n.º 23 (26 de noviembre de 2021): 3035. http://dx.doi.org/10.3390/math9233035.
Texto completoMa, Tian, Xinlei Zhou, Jiayi Yang, Boyang Meng, Jiali Qian, Jiehui Zhang y Gang Ge. "Dental Lesion Segmentation Using an Improved ICNet Network with Attention". Micromachines 13, n.º 11 (7 de noviembre de 2022): 1920. http://dx.doi.org/10.3390/mi13111920.
Texto completoTran, Song-Toan, Thanh-Tuan Nguyen, Minh-Hai Le, Ching-Hwa Cheng y Don-Gey Liu. "TDC-Unet: Triple Unet with Dilated Convolution for Medical Image Segmentation". International Journal of Pharma Medicine and Biological Sciences 11, n.º 1 (enero de 2022): 1–7. http://dx.doi.org/10.18178/ijpmbs.11.1.1-7.
Texto completoPark, Sangun y Dong Eui Chang. "Multipath Lightweight Deep Network Using Randomly Selected Dilated Convolution". Sensors 21, n.º 23 (26 de noviembre de 2021): 7862. http://dx.doi.org/10.3390/s21237862.
Texto completoRhee, Jung-Soo. "CERTAIN RADIALLY DILATED CONVOLUTION AND ITS APPLICATION". Honam Mathematical Journal 32, n.º 1 (25 de marzo de 2010): 101–12. http://dx.doi.org/10.5831/hmj.2010.32.1.101.
Texto completoOrhei, Ciprian, Victor Bogdan, Cosmin Bonchis y Radu Vasiu. "Dilated Filters for Edge-Detection Algorithms". Applied Sciences 11, n.º 22 (13 de noviembre de 2021): 10716. http://dx.doi.org/10.3390/app112210716.
Texto completoHeo, Woon-Haeng, Hyemi Kim y Oh-Wook Kwon. "Integrating Dilated Convolution into DenseLSTM for Audio Source Separation". Applied Sciences 11, n.º 2 (15 de enero de 2021): 789. http://dx.doi.org/10.3390/app11020789.
Texto completoBian, Shengqin, Xinyu He, Zhengguang Xu y Lixin Zhang. "Hybrid Dilated Convolution with Attention Mechanisms for Image Denoising". Electronics 12, n.º 18 (6 de septiembre de 2023): 3770. http://dx.doi.org/10.3390/electronics12183770.
Texto completoYang, Hongbo y Shi Qiu. "A Novel Dynamic Contextual Feature Fusion Model for Small Object Detection in Satellite Remote-Sensing Images". Information 15, n.º 4 (18 de abril de 2024): 230. http://dx.doi.org/10.3390/info15040230.
Texto completoZhou, Bo y Omer Saeed. "Comparative Analysis of Volleyball Serve Action Based on Human Posture Estimation". Mobile Information Systems 2022 (30 de septiembre de 2022): 1–11. http://dx.doi.org/10.1155/2022/4817463.
Texto completoPentapati, Hema Kumar y Sridevi K. "A Systematic Approach of Advanced Dilated Convolution Network for Speaker Identification". International Journal of Electrical and Electronics Research 11, n.º 1 (30 de marzo de 2023): 25–30. http://dx.doi.org/10.37391/ijeer.110104.
Texto completoJi, Changpeng, Haofeng Yu y Wei Dai. "Network Traffic Anomaly Detection Based on Spatiotemporal Feature Extraction and Channel Attention". Processes 12, n.º 7 (7 de julio de 2024): 1418. http://dx.doi.org/10.3390/pr12071418.
Texto completoYou, Jiangchuan y Zhenhong Shang. "Solar Filament Detection Based on Improved DeepLab V3+". Publications of the Astronomical Society of the Pacific 134, n.º 1036 (1 de junio de 2022): 064501. http://dx.doi.org/10.1088/1538-3873/ac6e07.
Texto completoGuan, Xin, Yushan Zhao, Charles Okanda Nyatega y Qiang Li. "Brain Tumor Segmentation Network with Multi-View Ensemble Discrimination and Kernel-Sharing Dilated Convolution". Brain Sciences 13, n.º 4 (11 de abril de 2023): 650. http://dx.doi.org/10.3390/brainsci13040650.
Texto completoKo, Tae-young y Seung-ho Lee. "Novel Method of Semantic Segmentation Applicable to Augmented Reality". Sensors 20, n.º 6 (20 de marzo de 2020): 1737. http://dx.doi.org/10.3390/s20061737.
Texto completoWang, Ji, Peiquan Xu, Leijun Li y Feng Zhang. "DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head". Sensors 23, n.º 12 (10 de junio de 2023): 5488. http://dx.doi.org/10.3390/s23125488.
Texto completoChen, Jie, Qingshan Xu, Yingchao Guo y Runfeng Chen. "Aircraft Landing Gear Retraction/Extension System Fault Diagnosis with 1-D Dilated Convolutional Neural Network". Sensors 22, n.º 4 (10 de febrero de 2022): 1367. http://dx.doi.org/10.3390/s22041367.
Texto completoChen, Guangsheng, Chao Li, Wei Wei, Weipeng Jing, Marcin Woźniak, Tomas Blažauskas y Robertas Damaševičius. "Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation". Applied Sciences 9, n.º 9 (1 de mayo de 2019): 1816. http://dx.doi.org/10.3390/app9091816.
Texto completoXu, Xuefeng, Tuo Chen y Huanyi Chen. "Multi-scaled attentive style transfer based on dilated convolution". Applied and Computational Engineering 6, n.º 1 (14 de junio de 2023): 998–1002. http://dx.doi.org/10.54254/2755-2721/6/20230693.
Texto completoZhou, Yuepeng, Huiyou Chang, Yonghe Lu y Xili Lu. "CDTNet: Improved Image Classification Method Using Standard, Dilated and Transposed Convolutions". Applied Sciences 12, n.º 12 (12 de junio de 2022): 5984. http://dx.doi.org/10.3390/app12125984.
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