Статті в журналах з теми "Convolution dilatée"
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Wang, Wei, Yiyang Hu, Ting Zou, Hongmei Liu, Jin Wang, and Xin Wang. "A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers." Computational Intelligence and Neuroscience 2020 (August 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/8817849.
Повний текст джерелаPeng, Wenli, Shenglai Zhen, Xin Chen, Qianjing Xiong, and Benli Yu. "Study on convolutional recurrent neural networks for speech enhancement in fiber-optic microphones." Journal of Physics: Conference Series 2246, no. 1 (April 1, 2022): 012084. http://dx.doi.org/10.1088/1742-6596/2246/1/012084.
Повний текст джерелаChim, Seyha, Jin-Gu Lee, and Ho-Hyun Park. "Dilated Skip Convolution for Facial Landmark Detection." Sensors 19, no. 24 (December 4, 2019): 5350. http://dx.doi.org/10.3390/s19245350.
Повний текст джерелаZhao, Feng, Junjie Zhang, Zhe Meng, and Hanqiang Liu. "Densely Connected Pyramidal Dilated Convolutional Network for Hyperspectral Image Classification." Remote Sensing 13, no. 17 (August 26, 2021): 3396. http://dx.doi.org/10.3390/rs13173396.
Повний текст джерелаTang, Jingfan, Meijia Zhou, Pengfei Li, Min Zhang, and Ming Jiang. "Crowd Counting Based on Multiresolution Density Map and Parallel Dilated Convolution." Scientific Programming 2021 (January 20, 2021): 1–10. http://dx.doi.org/10.1155/2021/8831458.
Повний текст джерелаMa, Tian, Xinlei Zhou, Jiayi Yang, Boyang Meng, Jiali Qian, Jiehui Zhang, and Gang Ge. "Dental Lesion Segmentation Using an Improved ICNet Network with Attention." Micromachines 13, no. 11 (November 7, 2022): 1920. http://dx.doi.org/10.3390/mi13111920.
Повний текст джерелаSong, Zhendong, Yupeng Ma, Fang Tan, and Xiaoyi Feng. "Hybrid Dilated and Recursive Recurrent Convolution Network for Time-Domain Speech Enhancement." Applied Sciences 12, no. 7 (March 29, 2022): 3461. http://dx.doi.org/10.3390/app12073461.
Повний текст джерелаViriyasaranon, Thanaporn, Seung-Hoon Chae, and Jang-Hwan Choi. "MFA-net: Object detection for complex X-ray cargo and baggage security imagery." PLOS ONE 17, no. 9 (September 1, 2022): e0272961. http://dx.doi.org/10.1371/journal.pone.0272961.
Повний текст джерелаZhang, Jianming, Chaoquan Lu, Jin Wang, Lei Wang, and Xiao-Guang Yue. "Concrete Cracks Detection Based on FCN with Dilated Convolution." Applied Sciences 9, no. 13 (July 1, 2019): 2686. http://dx.doi.org/10.3390/app9132686.
Повний текст джерелаRahman, Takowa, Md Saiful Islam, and Jia Uddin. "MRI-Based Brain Tumor Classification Using a Dilated Parallel Deep Convolutional Neural Network." Digital 4, no. 3 (June 28, 2024): 529–54. http://dx.doi.org/10.3390/digital4030027.
Повний текст джерелаCao, Ruifen, Xi Pei, Ning Ge, and 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 (January 1, 2021): 153303382110342. http://dx.doi.org/10.1177/15330338211034284.
Повний текст джерелаYang, Xing-Yao, Shao-Dong Zhang, Rui Xiao, Jiong Yu, and Zi-Yang Li. "Speech Recognition of Accented Mandarin Based on Improved Conformer." Sensors 23, no. 8 (April 16, 2023): 4025. http://dx.doi.org/10.3390/s23084025.
Повний текст джерелаYang, Hongbo, and Shi Qiu. "A Novel Dynamic Contextual Feature Fusion Model for Small Object Detection in Satellite Remote-Sensing Images." Information 15, no. 4 (April 18, 2024): 230. http://dx.doi.org/10.3390/info15040230.
Повний текст джерелаWang, Ran, Ruyu Shi, Xiong Hu, and Changqing Shen. "Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks." Shock and Vibration 2021 (January 25, 2021): 1–11. http://dx.doi.org/10.1155/2021/6616861.
Повний текст джерелаHo, David Joon, and Qian Lin. "Person Segmentation Using Convolutional Neural Networks With Dilated Convolutions." Electronic Imaging 2018, no. 10 (January 28, 2018): 455–1. http://dx.doi.org/10.2352/issn.2470-1173.2018.10.imawm-455.
Повний текст джерелаContreras, Jonatan, Martine Ceberio, and Vladik Kreinovich. "Why Dilated Convolutional Neural Networks: A Proof of Their Optimality." Entropy 23, no. 6 (June 18, 2021): 767. http://dx.doi.org/10.3390/e23060767.
Повний текст джерелаHu, Yicheng, Shufang Tian, and Jia Ge. "Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification." Remote Sensing 15, no. 19 (October 1, 2023): 4796. http://dx.doi.org/10.3390/rs15194796.
Повний текст джерелаHu, Guoping, Fangzheng Zhao, and 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, no. 12 (June 14, 2023): 3117. http://dx.doi.org/10.3390/rs15123117.
Повний текст джерелаWang, Yanjie, Shiyu Hu, Guodong Wang, Chenglizhao Chen, and Zhenkuan Pan. "Multi-scale dilated convolution of convolutional neural network for crowd counting." Multimedia Tools and Applications 79, no. 1-2 (October 17, 2019): 1057–73. http://dx.doi.org/10.1007/s11042-019-08208-6.
Повний текст джерелаWang, Yanjie, Guodong Wang, Chenglizhao Chen, and Zhenkuan Pan. "Multi-scale dilated convolution of convolutional neural network for image denoising." Multimedia Tools and Applications 78, no. 14 (February 23, 2019): 19945–60. http://dx.doi.org/10.1007/s11042-019-7377-y.
Повний текст джерелаHeo, Woon-Haeng, Hyemi Kim, and Oh-Wook Kwon. "Source Separation Using Dilated Time-Frequency DenseNet for Music Identification in Broadcast Contents." Applied Sciences 10, no. 5 (March 3, 2020): 1727. http://dx.doi.org/10.3390/app10051727.
Повний текст джерелаWang Aili, 王爱丽, 张宇枭 Zhang Yuxiao, 吴海滨 Wu Haibin, 姜开元 Jiang Kaiyuan та 岩堀祐之 Iwahori Yuji. "基于空洞卷积胶囊网络的激光雷达数据分类". Chinese Journal of Lasers 48, № 11 (2021): 1110003. http://dx.doi.org/10.3788/cjl202148.1110003.
Повний текст джерелаZhang, Guokai, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo, and Jianwei Lu. "3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification." Symmetry 10, no. 9 (September 1, 2018): 376. http://dx.doi.org/10.3390/sym10090376.
Повний текст джерелаXu, Jiawei, Jie Wu, Yu Lei, and Yuxiang Gu. "Application of Pseudo-Three-Dimensional Residual Network to Classify the Stages of Moyamoya Disease." Brain Sciences 13, no. 5 (April 29, 2023): 742. http://dx.doi.org/10.3390/brainsci13050742.
Повний текст джерелаJin, Ran, Xiaozhen Han, and Tongrui Yu. "A Real-Time Image Semantic Segmentation Method Based on Multilabel Classification." Mathematical Problems in Engineering 2021 (May 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/9963974.
Повний текст джерелаKhotimah, Wijayanti Nurul, Farid Boussaid, Ferdous Sohel, Lian Xu, David Edwards, Xiu Jin, and Mohammed Bennamoun. "SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification." Remote Sensing 14, no. 17 (August 30, 2022): 4288. http://dx.doi.org/10.3390/rs14174288.
Повний текст джерелаYou, Jiangchuan, and Zhenhong Shang. "Solar Filament Detection Based on Improved DeepLab V3+." Publications of the Astronomical Society of the Pacific 134, no. 1036 (June 1, 2022): 064501. http://dx.doi.org/10.1088/1538-3873/ac6e07.
Повний текст джерелаRenton, Guillaume, Yann Soullard, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, and Thierry Paquet. "Fully convolutional network with dilated convolutions for handwritten text line segmentation." International Journal on Document Analysis and Recognition (IJDAR) 21, no. 3 (May 30, 2018): 177–86. http://dx.doi.org/10.1007/s10032-018-0304-3.
Повний текст джерелаWu, Junjie, Wen Liu, and Yoshihisa Maruyama. "Automated Road-Marking Segmentation via a Multiscale Attention-Based Dilated Convolutional Neural Network Using the Road Marking Dataset." Remote Sensing 14, no. 18 (September 9, 2022): 4508. http://dx.doi.org/10.3390/rs14184508.
Повний текст джерелаXiang, Zhenwu, Qi Mao, Jintao Wang, Yi Tian, Yan Zhang, and Wenfeng Wang. "Dmbg-Net: Dilated multiresidual boundary guidance network for COVID-19 infection segmentation." Mathematical Biosciences and Engineering 20, no. 11 (2023): 20135–54. http://dx.doi.org/10.3934/mbe.2023892.
Повний текст джерелаZhou, Yuepeng, Huiyou Chang, Yonghe Lu, and Xili Lu. "CDTNet: Improved Image Classification Method Using Standard, Dilated and Transposed Convolutions." Applied Sciences 12, no. 12 (June 12, 2022): 5984. http://dx.doi.org/10.3390/app12125984.
Повний текст джерелаZhao, Haixia, You Zhou, Tingting Bai, and Yuanzhong Chen. "A U-Net Based Multi-Scale Deformable Convolution Network for Seismic Random Noise Suppression." Remote Sensing 15, no. 18 (September 17, 2023): 4569. http://dx.doi.org/10.3390/rs15184569.
Повний текст джерелаZhu, Yiqun, Guojian Jin, Tongfei Liu, Hanhong Zheng, Mingyang Zhang, Shuang Liang, Jieyi Liu, and Linqi Li. "Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China." Remote Sensing 14, no. 23 (November 25, 2022): 5969. http://dx.doi.org/10.3390/rs14235969.
Повний текст джерелаKu, Tao, Qirui Yang, and Hao Zhang. "Multilevel feature fusion dilated convolutional network for semantic segmentation." International Journal of Advanced Robotic Systems 18, no. 2 (March 1, 2021): 172988142110076. http://dx.doi.org/10.1177/17298814211007665.
Повний текст джерелаZhuang, Zilong, Huichun Lv, Jie Xu, Zizhao Huang, and Wei Qin. "A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions." Applied Sciences 9, no. 9 (May 1, 2019): 1823. http://dx.doi.org/10.3390/app9091823.
Повний текст джерелаQin, Yanjun, Haiyong Luo, Fang Zhao, Chenxing Wang, and Yuchen Fang. "NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition." IEEE Transactions on Vehicular Technology 70, no. 3 (March 2021): 2138–52. http://dx.doi.org/10.1109/tvt.2021.3060761.
Повний текст джерелаNi, Jian, Rui Wang, and Jing Tang. "ADSSD: Improved Single-Shot Detector with Attention Mechanism and Dilated Convolution." Applied Sciences 13, no. 6 (March 22, 2023): 4038. http://dx.doi.org/10.3390/app13064038.
Повний текст джерелаMa, Hao, Chao Chen, Qing Zhu, Haitao Yuan, Liming Chen, and Minglei Shu. "An ECG Signal Classification Method Based on Dilated Causal Convolution." Computational and Mathematical Methods in Medicine 2021 (February 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/6627939.
Повний текст джерелаShen, Sheng, Honghui Yang, Xiaohui Yao, Junhao Li, Guanghui Xu, and Meiping Sheng. "Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms." Sensors 20, no. 1 (January 1, 2020): 253. http://dx.doi.org/10.3390/s20010253.
Повний текст джерелаTran, Song-Toan, Thanh-Tuan Nguyen, Minh-Hai Le, Ching-Hwa Cheng, and Don-Gey Liu. "TDC-Unet: Triple Unet with Dilated Convolution for Medical Image Segmentation." International Journal of Pharma Medicine and Biological Sciences 11, no. 1 (January 2022): 1–7. http://dx.doi.org/10.18178/ijpmbs.11.1.1-7.
Повний текст джерелаXie, Wen, Licheng Jiao, and Wenqiang Hua. "Complex-Valued Multi-Scale Fully Convolutional Network with Stacked-Dilated Convolution for PolSAR Image Classification." Remote Sensing 14, no. 15 (August 4, 2022): 3737. http://dx.doi.org/10.3390/rs14153737.
Повний текст джерелаLiu, Junwen, Yongjun Zhang, Jianbin Xie, Yan Wei, Zewei Wang, and Mengjia Niu. "Head Detection Based on DR Feature Extraction Network and Mixed Dilated Convolution Module." Electronics 10, no. 13 (June 29, 2021): 1565. http://dx.doi.org/10.3390/electronics10131565.
Повний текст джерелаAbid, Fazeel, Ikram Ud Din, Ahmad Almogren, Hasan Ali Khattak, and Mirza Waqar Baig. "Augmentation of Contextualized Concatenated Word Representation and Dilated Convolution Neural Network for Sentiment Analysis." Wireless Communications and Mobile Computing 2021 (November 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/1428710.
Повний текст джерелаRoy, Sanjiban Sekhar, Nishant Rodrigues, and Y.-h. Taguchi. "Incremental Dilations Using CNN for Brain Tumor Classification." Applied Sciences 10, no. 14 (July 17, 2020): 4915. http://dx.doi.org/10.3390/app10144915.
Повний текст джерелаOrhei, Ciprian, Victor Bogdan, Cosmin Bonchis, and Radu Vasiu. "Dilated Filters for Edge-Detection Algorithms." Applied Sciences 11, no. 22 (November 13, 2021): 10716. http://dx.doi.org/10.3390/app112210716.
Повний текст джерелаLin, Jiang, and Yepeng Guan. "Load Prediction in Double-Channel Residual Self-Attention Temporal Convolutional Network with Weight Adaptive Updating in Cloud Computing." Sensors 24, no. 10 (May 17, 2024): 3181. http://dx.doi.org/10.3390/s24103181.
Повний текст джерелаDeng, Feiyue, Yan Bi, Yongqiang Liu, and Shaopu Yang. "Deep-Learning-Based Remaining Useful Life Prediction Based on a Multi-Scale Dilated Convolution Network." Mathematics 9, no. 23 (November 26, 2021): 3035. http://dx.doi.org/10.3390/math9233035.
Повний текст джерелаGuo, Feng, Hongbing Ma, Liangliang Li, Ming Lv, and Zhenhong Jia. "FCNet: Flexible Convolution Network for Infrared Small Ship Detection." Remote Sensing 16, no. 12 (June 19, 2024): 2218. http://dx.doi.org/10.3390/rs16122218.
Повний текст джерелаWan, Renzhuo, Chengde Tian, Wei Zhang, Wendi Deng, and Fan Yang. "A Multivariate Temporal Convolutional Attention Network for Time-Series Forecasting." Electronics 11, no. 10 (May 10, 2022): 1516. http://dx.doi.org/10.3390/electronics11101516.
Повний текст джерелаPark, Sangun, and Dong Eui Chang. "Multipath Lightweight Deep Network Using Randomly Selected Dilated Convolution." Sensors 21, no. 23 (November 26, 2021): 7862. http://dx.doi.org/10.3390/s21237862.
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