Статті в журналах з теми "Dilated convolution"
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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 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 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 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 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 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 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 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 джерелаMadych, W. R. "Limits of Dilated Convolution Transforms." SIAM Journal on Mathematical Analysis 16, no. 3 (May 1985): 551–58. http://dx.doi.org/10.1137/0516041.
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 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 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 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 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 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 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 джерелаJin, Dawei, Ruizhi Kang, Hongjun Zhang, Wening Hao, and Gang Chen. "Improving Abstractive Summarization via Dilated Convolution." Journal of Physics: Conference Series 1616 (August 2020): 012078. http://dx.doi.org/10.1088/1742-6596/1616/1/012078.
Повний текст джерелаFang, Yuchun, Yifan Li, Xiaokang Tu, Taifeng Tan, and Xin Wang. "Face completion with Hybrid Dilated Convolution." Signal Processing: Image Communication 80 (February 2020): 115664. http://dx.doi.org/10.1016/j.image.2019.115664.
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 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 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 джерелаLin, Yingjie, and Jianning Wu. "A Novel Multichannel Dilated Convolution Neural Network for Human Activity Recognition." Mathematical Problems in Engineering 2020 (July 11, 2020): 1–10. http://dx.doi.org/10.1155/2020/5426532.
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 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 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 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 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 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 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 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 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.
Повний текст джерелаRhee, Jung-Soo. "CERTAIN RADIALLY DILATED CONVOLUTION AND ITS APPLICATION." Honam Mathematical Journal 32, no. 1 (March 25, 2010): 101–12. http://dx.doi.org/10.5831/hmj.2010.32.1.101.
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 джерелаHeo, Woon-Haeng, Hyemi Kim, and Oh-Wook Kwon. "Integrating Dilated Convolution into DenseLSTM for Audio Source Separation." Applied Sciences 11, no. 2 (January 15, 2021): 789. http://dx.doi.org/10.3390/app11020789.
Повний текст джерелаBian, Shengqin, Xinyu He, Zhengguang Xu, and Lixin Zhang. "Hybrid Dilated Convolution with Attention Mechanisms for Image Denoising." Electronics 12, no. 18 (September 6, 2023): 3770. http://dx.doi.org/10.3390/electronics12183770.
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 джерелаZhou, Bo, and Omer Saeed. "Comparative Analysis of Volleyball Serve Action Based on Human Posture Estimation." Mobile Information Systems 2022 (September 30, 2022): 1–11. http://dx.doi.org/10.1155/2022/4817463.
Повний текст джерелаPentapati, Hema Kumar, and Sridevi K. "A Systematic Approach of Advanced Dilated Convolution Network for Speaker Identification." International Journal of Electrical and Electronics Research 11, no. 1 (March 30, 2023): 25–30. http://dx.doi.org/10.37391/ijeer.110104.
Повний текст джерелаJi, Changpeng, Haofeng Yu, and Wei Dai. "Network Traffic Anomaly Detection Based on Spatiotemporal Feature Extraction and Channel Attention." Processes 12, no. 7 (July 7, 2024): 1418. http://dx.doi.org/10.3390/pr12071418.
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 джерелаGuan, Xin, Yushan Zhao, Charles Okanda Nyatega, and Qiang Li. "Brain Tumor Segmentation Network with Multi-View Ensemble Discrimination and Kernel-Sharing Dilated Convolution." Brain Sciences 13, no. 4 (April 11, 2023): 650. http://dx.doi.org/10.3390/brainsci13040650.
Повний текст джерелаKo, Tae-young, and Seung-ho Lee. "Novel Method of Semantic Segmentation Applicable to Augmented Reality." Sensors 20, no. 6 (March 20, 2020): 1737. http://dx.doi.org/10.3390/s20061737.
Повний текст джерелаWang, Ji, Peiquan Xu, Leijun Li, and 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, no. 12 (June 10, 2023): 5488. http://dx.doi.org/10.3390/s23125488.
Повний текст джерелаChen, Jie, Qingshan Xu, Yingchao Guo, and Runfeng Chen. "Aircraft Landing Gear Retraction/Extension System Fault Diagnosis with 1-D Dilated Convolutional Neural Network." Sensors 22, no. 4 (February 10, 2022): 1367. http://dx.doi.org/10.3390/s22041367.
Повний текст джерелаChen, Guangsheng, Chao Li, Wei Wei, Weipeng Jing, Marcin Woźniak, Tomas Blažauskas, and 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, no. 9 (May 1, 2019): 1816. http://dx.doi.org/10.3390/app9091816.
Повний текст джерелаXu, Xuefeng, Tuo Chen, and Huanyi Chen. "Multi-scaled attentive style transfer based on dilated convolution." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 998–1002. http://dx.doi.org/10.54254/2755-2721/6/20230693.
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.
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