Статті в журналах з теми "Convolutional transformer"
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Li, Pengfei, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, and Simon See. "ACT: an Attentive Convolutional Transformer for Efficient Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 15 (May 18, 2021): 13261–69. http://dx.doi.org/10.1609/aaai.v35i15.17566.
Повний текст джерелаHe, Ping, Yong Li, Shoulong Chen, Hoghua Xu, Lei Zhu, and Lingyan Wang. "Core looseness fault identification model based on Mel spectrogram-CNN." Journal of Physics: Conference Series 2137, no. 1 (December 1, 2021): 012060. http://dx.doi.org/10.1088/1742-6596/2137/1/012060.
Повний текст джерелаLi, Xiaopeng, and Shuqin Li. "Transformer Help CNN See Better: A Lightweight Hybrid Apple Disease Identification Model Based on Transformers." Agriculture 12, no. 6 (June 19, 2022): 884. http://dx.doi.org/10.3390/agriculture12060884.
Повний текст джерелаZhou, Li, Tongqin Shi, Songquan Huang, Fangchao Ke, Zhenxi Huang, Zhaoyang Zhang, and Jinzheng Liang. "Convolutional neural network for real-time main transformer detection." Journal of Physics: Conference Series 2229, no. 1 (March 1, 2022): 012021. http://dx.doi.org/10.1088/1742-6596/2229/1/012021.
Повний текст джерелаZhang, Zhiwen, Teng Li, Xuebin Tang, Xiang Hu, and Yuanxi Peng. "CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification." Sensors 22, no. 10 (May 20, 2022): 3902. http://dx.doi.org/10.3390/s22103902.
Повний текст джерелаXu, Jun, Zi-Xuan Chen, Hao Luo, and Zhe-Ming Lu. "An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network." Sensors 23, no. 1 (December 21, 2022): 43. http://dx.doi.org/10.3390/s23010043.
Повний текст джерелаYang, Liming, Yihang Yang, Jinghui Yang, Ningyuan Zhao, Ling Wu, Liguo Wang, and Tianrui Wang. "FusionNet: A Convolution–Transformer Fusion Network for Hyperspectral Image Classification." Remote Sensing 14, no. 16 (August 19, 2022): 4066. http://dx.doi.org/10.3390/rs14164066.
Повний текст джерелаIbrahem, Hatem, Ahmed Salem, and Hyun-Soo Kang. "RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers." Sensors 22, no. 10 (May 19, 2022): 3849. http://dx.doi.org/10.3390/s22103849.
Повний текст джерелаWu, Jiajing, Zhiqiang Wei, Jinpeng Zhang, Yushi Zhang, Dongning Jia, Bo Yin, and Yunchao Yu. "Full-Coupled Convolutional Transformer for Surface-Based Duct Refractivity Inversion." Remote Sensing 14, no. 17 (September 3, 2022): 4385. http://dx.doi.org/10.3390/rs14174385.
Повний текст джерелаSowndarya, S., and Sujatha Balaraman. "Diagnosis of Partial Discharge in Power Transformer using Convolutional Neural Network." March 2022 4, no. 1 (April 30, 2022): 29–38. http://dx.doi.org/10.36548/jscp.2022.1.004.
Повний текст джерелаZhu, Wenhao, Yujun Xie, Qun Huang, Zehua Zheng, Xiaozhao Fang, Yonghui Huang, and Weijun Sun. "Graph Transformer Collaborative Filtering Method for Multi-Behavior Recommendations." Mathematics 10, no. 16 (August 16, 2022): 2956. http://dx.doi.org/10.3390/math10162956.
Повний текст джерелаPu, Shilin, Liang Chu, Jincheng Hu, Shibo Li, Jihao Li, and Wen Sun. "SGGformer: Shifted Graph Convolutional Graph-Transformer for Traffic Prediction." Sensors 22, no. 22 (November 21, 2022): 9024. http://dx.doi.org/10.3390/s22229024.
Повний текст джерелаBai, Yuanchao, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, and Wen Gao. "Towards End-to-End Image Compression and Analysis with Transformers." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 104–12. http://dx.doi.org/10.1609/aaai.v36i1.19884.
Повний текст джерелаLe, Viet-Tuan, Kiet Tran-Trung, and Vinh Truong Hoang. "A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition." Computational Intelligence and Neuroscience 2022 (April 20, 2022): 1–17. http://dx.doi.org/10.1155/2022/8323962.
Повний текст джерелаJiang, Yun, Jing Liang, Tongtong Cheng, Xin Lin, Yuan Zhang, and Jinkun Dong. "MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN." Sensors 22, no. 12 (June 17, 2022): 4592. http://dx.doi.org/10.3390/s22124592.
Повний текст джерелаYuan, Wei, and Wenbo Xu. "MSST-Net: A Multi-Scale Adaptive Network for Building Extraction from Remote Sensing Images Based on Swin Transformer." Remote Sensing 13, no. 23 (November 23, 2021): 4743. http://dx.doi.org/10.3390/rs13234743.
Повний текст джерелаZhang, Jianrong, Hongwei Zhao, and Jiao Li. "TRS: Transformers for Remote Sensing Scene Classification." Remote Sensing 13, no. 20 (October 16, 2021): 4143. http://dx.doi.org/10.3390/rs13204143.
Повний текст джерелаAlBadani, Barakat, Ronghua Shi, Jian Dong, Raeed Al-Sabri, and Oloulade Babatounde Moctard. "Transformer-Based Graph Convolutional Network for Sentiment Analysis." Applied Sciences 12, no. 3 (January 26, 2022): 1316. http://dx.doi.org/10.3390/app12031316.
Повний текст джерелаZheng, Yuping, and Weiwei Jiang. "Evaluation of Vision Transformers for Traffic Sign Classification." Wireless Communications and Mobile Computing 2022 (June 4, 2022): 1–14. http://dx.doi.org/10.1155/2022/3041117.
Повний текст джерелаShao, Ran, Xiao-Jun Bi, and Zheng Chen. "A novel hybrid transformer-CNN architecture for environmental microorganism classification." PLOS ONE 17, no. 11 (November 11, 2022): e0277557. http://dx.doi.org/10.1371/journal.pone.0277557.
Повний текст джерелаAyana, Gelan, Kokeb Dese, Yisak Dereje, Yonas Kebede, Hika Barki, Dechassa Amdissa, Nahimiya Husen, Fikadu Mulugeta, Bontu Habtamu, and Se-Woon Choe. "Vision-Transformer-Based Transfer Learning for Mammogram Classification." Diagnostics 13, no. 2 (January 4, 2023): 178. http://dx.doi.org/10.3390/diagnostics13020178.
Повний текст джерелаXu, Yufen, Shangbo Zhou, and Yuhui Huang. "Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery." Entropy 24, no. 11 (November 6, 2022): 1619. http://dx.doi.org/10.3390/e24111619.
Повний текст джерелаLi, Jiaju, Hanfa Xing, Zurui Ao, Hefeng Wang, Wenkai Liu, and Anbing Zhang. "Convolution-Transformer Adaptive Fusion Network for Hyperspectral Image Classification." Applied Sciences 13, no. 1 (December 30, 2022): 492. http://dx.doi.org/10.3390/app13010492.
Повний текст джерелаKumar, Dinesh, and Dharmendra Sharma. "Feature Map Augmentation to Improve Scale Invariance in Convolutional Neural Networks." Journal of Artificial Intelligence and Soft Computing Research 13, no. 1 (November 28, 2022): 51–74. http://dx.doi.org/10.2478/jaiscr-2023-0004.
Повний текст джерелаXu, Shizhuo, Vibekananda Dutta, Xin He, and Takafumi Matsumaru. "A Transformer-Based Model for Super-resolution of Anime Image." Sensors 22, no. 21 (October 24, 2022): 8126. http://dx.doi.org/10.3390/s22218126.
Повний текст джерелаHussain, Altaf, Tanveer Hussain, Waseem Ullah, and Sung Wook Baik. "Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos." Computational Intelligence and Neuroscience 2022 (April 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/3454167.
Повний текст джерелаYang, Zhiqiang, Chong Xu, and Lei Li. "Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments." Remote Sensing 14, no. 12 (June 16, 2022): 2885. http://dx.doi.org/10.3390/rs14122885.
Повний текст джерелаShen, Li, and Yangzhu Wang. "TCCT: Tightly-coupled convolutional transformer on time series forecasting." Neurocomputing 480 (April 2022): 131–45. http://dx.doi.org/10.1016/j.neucom.2022.01.039.
Повний текст джерелаDai, Yin, Yifan Gao, and Fayu Liu. "TransMed: Transformers Advance Multi-Modal Medical Image Classification." Diagnostics 11, no. 8 (July 31, 2021): 1384. http://dx.doi.org/10.3390/diagnostics11081384.
Повний текст джерелаJiang, Shen, Jinjiang Li, and Zhen Hua. "Transformer with progressive sampling for medical cellular image segmentation." Mathematical Biosciences and Engineering 19, no. 12 (2022): 12104–26. http://dx.doi.org/10.3934/mbe.2022563.
Повний текст джерелаXie, Fei, Dalong Zhang, and Chengming Liu. "Global–Local Self-Attention Based Transformer for Speaker Verification." Applied Sciences 12, no. 19 (October 10, 2022): 10154. http://dx.doi.org/10.3390/app121910154.
Повний текст джерелаFan, Yiming, Hewei Wang, Xiaoyu Zhu, Xiangming Cao, Chuanjian Yi, Yao Chen, Jie Jia, and Xiaofeng Lu. "FER-PCVT: Facial Expression Recognition with Patch-Convolutional Vision Transformer for Stroke Patients." Brain Sciences 12, no. 12 (November 28, 2022): 1626. http://dx.doi.org/10.3390/brainsci12121626.
Повний текст джерелаMoutik, Oumaima, Hiba Sekkat, Smail Tigani, Abdellah Chehri, Rachid Saadane, Taha Ait Tchakoucht, and Anand Paul. "Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?" Sensors 23, no. 2 (January 9, 2023): 734. http://dx.doi.org/10.3390/s23020734.
Повний текст джерелаXu, Xiangkai, Zhejun Feng, Changqing Cao, Mengyuan Li, Jin Wu, Zengyan Wu, Yajie Shang, and Shubing Ye. "An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation." Remote Sensing 13, no. 23 (November 25, 2021): 4779. http://dx.doi.org/10.3390/rs13234779.
Повний текст джерелаLang, Bin, and Jian Gong. "JR-TFViT: A Lightweight Efficient Radar Jamming Recognition Network Based on Global Representation of the Time–Frequency Domain." Electronics 11, no. 17 (September 5, 2022): 2794. http://dx.doi.org/10.3390/electronics11172794.
Повний текст джерелаHuang, Lei, Feng Mao, Kai Zhang, and Zhiheng Li. "Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting." Sensors 22, no. 3 (January 22, 2022): 841. http://dx.doi.org/10.3390/s22030841.
Повний текст джерелаChen, Guang, and Yi Shang. "Transformer for Tree Counting in Aerial Images." Remote Sensing 14, no. 3 (January 20, 2022): 476. http://dx.doi.org/10.3390/rs14030476.
Повний текст джерелаLi, Siyuan, Zongxu Pan, and Yuxin Hu. "Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition." Remote Sensing 14, no. 16 (August 12, 2022): 3924. http://dx.doi.org/10.3390/rs14163924.
Повний текст джерелаZhu, Weidong, Jun Sun, Simin Wang, Jifeng Shen, Kaifeng Yang, and Xin Zhou. "Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network." Agriculture 12, no. 8 (July 22, 2022): 1083. http://dx.doi.org/10.3390/agriculture12081083.
Повний текст джерелаLi, Xiaopeng, Yuyun Xiang, and Shuqin Li. "Combining convolutional and vision transformer structures for sheep face recognition." Computers and Electronics in Agriculture 205 (February 2023): 107651. http://dx.doi.org/10.1016/j.compag.2023.107651.
Повний текст джерелаMogan, Jashila Nair, Chin Poo Lee, Kian Ming Lim, and Kalaiarasi Sonai Muthu. "Gait-ViT: Gait Recognition with Vision Transformer." Sensors 22, no. 19 (September 28, 2022): 7362. http://dx.doi.org/10.3390/s22197362.
Повний текст джерелаPan, Zizheng, Bohan Zhuang, Haoyu He, Jing Liu, and Jianfei Cai. "Less Is More: Pay Less Attention in Vision Transformers." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 2035–43. http://dx.doi.org/10.1609/aaai.v36i2.20099.
Повний текст джерелаYao, Chao, Shuo Jin, Meiqin Liu, and Xiaojuan Ban. "Dense Residual Transformer for Image Denoising." Electronics 11, no. 3 (January 29, 2022): 418. http://dx.doi.org/10.3390/electronics11030418.
Повний текст джерелаLi, Shuping, Qianhao Yuan, Yeming Zhang, Baozhan Lv, and Feng Wei. "Image Dehazing Algorithm Based on Deep Learning Coupled Local and Global Features." Applied Sciences 12, no. 17 (August 26, 2022): 8552. http://dx.doi.org/10.3390/app12178552.
Повний текст джерелаJamali, Ali, and Masoud Mahdianpari. "Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery." Water 14, no. 2 (January 10, 2022): 178. http://dx.doi.org/10.3390/w14020178.
Повний текст джерелаXing, Mengda, Weilong Ding, Han Li, and Tianpu Zhang. "A Power Transformer Fault Prediction Method through Temporal Convolutional Network on Dissolved Gas Chromatography Data." Security and Communication Networks 2022 (April 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/5357412.
Повний текст джерелаHu, Xiang, Wenjing Yang, Hao Wen, Yu Liu, and Yuanxi Peng. "A Lightweight 1-D Convolution Augmented Transformer with Metric Learning for Hyperspectral Image Classification." Sensors 21, no. 5 (March 3, 2021): 1751. http://dx.doi.org/10.3390/s21051751.
Повний текст джерелаBao, Shuai, Jiping Liu, Liang Wang, and Xizhi Zhao. "Application of Transformer Models to Landslide Susceptibility Mapping." Sensors 22, no. 23 (November 23, 2022): 9104. http://dx.doi.org/10.3390/s22239104.
Повний текст джерелаLiu, Xinyi, Baofeng Zhang, and Na Liu. "CAST-YOLO: An Improved YOLO Based on a Cross-Attention Strategy Transformer for Foggy Weather Adaptive Detection." Applied Sciences 13, no. 2 (January 15, 2023): 1176. http://dx.doi.org/10.3390/app13021176.
Повний текст джерелаHuo, Junliang, and Jiankun Ling. "Study on a visual coder acceleration algorithm for image classification applying dynamic scaling training techniques." Journal of Physics: Conference Series 2083, no. 4 (November 1, 2021): 042027. http://dx.doi.org/10.1088/1742-6596/2083/4/042027.
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