Journal articles on the topic 'Transformer Architecture'
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Rahali, Abir, and Moulay A. Akhloufi. "End-to-End Transformer-Based Models in Textual-Based NLP." AI 4, no. 1 (January 5, 2023): 54–110. http://dx.doi.org/10.3390/ai4010004.
Full textChi, Ye, Haikun Liu, Ganwei Peng, Xiaofei Liao, and Hai Jin. "Transformer: An OS-Supported Reconfigurable Hybrid Memory Architecture." Applied Sciences 12, no. 24 (December 18, 2022): 12995. http://dx.doi.org/10.3390/app122412995.
Full textCui, Liyuan, Guoqiang Zhong, Xiang Liu, and Hongwei Xu. "A Compact Object Detection Architecture with Transformer Enhancing." Journal of Physics: Conference Series 2278, no. 1 (May 1, 2022): 012034. http://dx.doi.org/10.1088/1742-6596/2278/1/012034.
Full textLorenzo, Javier, Ignacio Parra Alonso, Rubén Izquierdo, Augusto Luis Ballardini, Álvaro Hernández Saz, David Fernández Llorca, and Miguel Ángel Sotelo. "CAPformer: Pedestrian Crossing Action Prediction Using Transformer." Sensors 21, no. 17 (August 24, 2021): 5694. http://dx.doi.org/10.3390/s21175694.
Full textShao, 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.
Full textIbrahem, 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.
Full textLee, Jaewoo, Sungjun Lee, Wonki Cho, Zahid Ali Siddiqui, and Unsang Park. "Vision Transformer-Based Tailing Detection in Videos." Applied Sciences 11, no. 24 (December 7, 2021): 11591. http://dx.doi.org/10.3390/app112411591.
Full textHe, Ju, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, and Changhu Wang. "TransFG: A Transformer Architecture for Fine-Grained Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 852–60. http://dx.doi.org/10.1609/aaai.v36i1.19967.
Full textGao, Shuguo, Jun Zhao, Yunpeng Liu, Ziqiang Xu, Zhe Li, Lu Sun, and Yuan Tian. "Research into Power Transformer Health Assessment Technology Based on Uncertainty of Information and Deep Architecture Design." Mathematical Problems in Engineering 2021 (April 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/8831872.
Full textXu, Zhen, David R. So, and Andrew M. Dai. "MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10532–40. http://dx.doi.org/10.1609/aaai.v35i12.17260.
Full textWei, Lixing. "A Transformer Network Architecture for Dermoscopy Image Segmentation." Journal of Physics: Conference Series 2303, no. 1 (July 1, 2022): 012043. http://dx.doi.org/10.1088/1742-6596/2303/1/012043.
Full textWang, Zhixue, Yu Zhang, Lin Luo, and Nan Wang. "TransCD: scene change detection via transformer-based architecture." Optics Express 29, no. 25 (November 30, 2021): 41409. http://dx.doi.org/10.1364/oe.440720.
Full textChoi, Yong-Seok, Yo-Han Park, and Kong Joo Lee. "Building a Korean morphological analyzer using two Korean BERT models." PeerJ Computer Science 8 (May 2, 2022): e968. http://dx.doi.org/10.7717/peerj-cs.968.
Full textShi, Hao, Bingqian Chai, Yupei Wang, and Liang Chen. "A Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection." Remote Sensing 14, no. 20 (October 20, 2022): 5247. http://dx.doi.org/10.3390/rs14205247.
Full textYoung, Paul, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, and Peyman Najafirad. "Can Hierarchical Transformers Learn Facial Geometry?" Sensors 23, no. 2 (January 13, 2023): 929. http://dx.doi.org/10.3390/s23020929.
Full textBai, He, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, and Ming Li. "Segatron: Segment-Aware Transformer for Language Modeling and Understanding." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 14 (May 18, 2021): 12526–34. http://dx.doi.org/10.1609/aaai.v35i14.17485.
Full textBurn, G. L. "Implementing the evaluation transformer model of reduction on parallel machines." Journal of Functional Programming 1, no. 3 (July 1991): 329–66. http://dx.doi.org/10.1017/s0956796800000137.
Full textIliadis, Lazaros, Spyridon Nikolaidis, Panagiotis Sarigiannidis, Shaohua Wan, and Sotirios Goudos. "Artwork Style Recognition Using Vision Transformers and MLP Mixer." Technologies 10, no. 1 (December 28, 2021): 2. http://dx.doi.org/10.3390/technologies10010002.
Full textObuchowski, Aleksander, and Michał Lew. "Transformer-Capsule Model for Intent Detection (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13885–86. http://dx.doi.org/10.1609/aaai.v34i10.7215.
Full textVasilevskij, V. V., and M. O. Poliakov. "Reproducing of the humidity curve of power transformers oil using adaptive neuro-fuzzy systems." Electrical Engineering & Electromechanics, no. 1 (February 23, 2021): 10–14. http://dx.doi.org/10.20998/2074-272x.2021.1.02.
Full textKim, Ki Jin, Tae Ho Lim, S. H. Park, and K. H. Ahn. "A High Efficiency CMOS Power Amplfieir with a Diode Linearizer and Voltage Combining Transformers." Applied Mechanics and Materials 110-116 (October 2011): 5500–5504. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.5500.
Full textHan, Jianhua, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, and Xiaodan Liang. "Laneformer: Object-Aware Row-Column Transformers for Lane Detection." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 799–807. http://dx.doi.org/10.1609/aaai.v36i1.19961.
Full textChen, Shichuan, Kunfeng Qiu, Shilian Zheng, Qi Xuan, and Xiaoniu Yang. "Radio–Image Transformer: Bridging Radio Modulation Classification and ImageNet Classification." Electronics 9, no. 10 (October 9, 2020): 1646. http://dx.doi.org/10.3390/electronics9101646.
Full textSun, Zeyu, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, and Lu Zhang. "TreeGen: A Tree-Based Transformer Architecture for Code Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8984–91. http://dx.doi.org/10.1609/aaai.v34i05.6430.
Full textZhao, Qian, Hao Yang, Dongming Zhou, and Jinde Cao. "Rethinking Image Deblurring via CNN-Transformer Multiscale Hybrid Architecture." IEEE Transactions on Instrumentation and Measurement 72 (2023): 1–15. http://dx.doi.org/10.1109/tim.2022.3230482.
Full textWu, Sitong, Tianyi Wu, Haoru Tan, and Guodong Guo. "Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 2731–39. http://dx.doi.org/10.1609/aaai.v36i3.20176.
Full textOsolo, Raymond Ian, Zhan Yang, and Jun Long. "An Attentive Fourier-Augmented Image-Captioning Transformer." Applied Sciences 11, no. 18 (September 9, 2021): 8354. http://dx.doi.org/10.3390/app11188354.
Full textPaik, Incheon, and Jun-Wei Wang. "Improving Text-to-Code Generation with Features of Code Graph on GPT-2." Electronics 10, no. 21 (November 5, 2021): 2706. http://dx.doi.org/10.3390/electronics10212706.
Full textÖzdemir, Özgür, Emre Salih Akın, Rıza Velioğlu, and Tuğba Dalyan. "A comparative study of neural machine translation models for Turkish language." Journal of Intelligent & Fuzzy Systems 42, no. 3 (February 2, 2022): 2103–13. http://dx.doi.org/10.3233/jifs-211453.
Full textReva, I. V., O. V. Bialobrzheskyi, O. V. Todorov, and M. A. Bezzub. "Review of electric methods and systems for monitoring power transformers in the SMART GRID environment." Electrical Engineering and Power Engineering, no. 1 (March 30, 2022): 30–41. http://dx.doi.org/10.15588/1607-6761-2022-1-3.
Full textSun, Tao, and Hai Bo Liu. "Design of Fault Diagnosis Expert System of Transformer." Applied Mechanics and Materials 291-294 (February 2013): 2557–61. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2557.
Full textLu, Kevin, Aditya Grover, Pieter Abbeel, and Igor Mordatch. "Frozen Pretrained Transformers as Universal Computation Engines." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7628–36. http://dx.doi.org/10.1609/aaai.v36i7.20729.
Full textZhang, Zizhao, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, and Tomas Pfister. "Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 3417–25. http://dx.doi.org/10.1609/aaai.v36i3.20252.
Full textYang, Xin, and Tao Su. "EFA-Trans: An Efficient and Flexible Acceleration Architecture for Transformers." Electronics 11, no. 21 (October 31, 2022): 3550. http://dx.doi.org/10.3390/electronics11213550.
Full textBacco, Luca, Andrea Cimino, Felice Dell’Orletta, and Mario Merone. "Explainable Sentiment Analysis: A Hierarchical Transformer-Based Extractive Summarization Approach." Electronics 10, no. 18 (September 8, 2021): 2195. http://dx.doi.org/10.3390/electronics10182195.
Full textDai, Yaonan, Jiuyang Yu, Dean Zhang, Tianhao Hu, and Xiaotao Zheng. "RODFormer: High-Precision Design for Rotating Object Detection with Transformers." Sensors 22, no. 7 (March 29, 2022): 2633. http://dx.doi.org/10.3390/s22072633.
Full textZhu, Xiaoning, Yannan Jia, Sun Jian, Lize Gu, and Zhang Pu. "ViTT: Vision Transformer Tracker." Sensors 21, no. 16 (August 20, 2021): 5608. http://dx.doi.org/10.3390/s21165608.
Full textBedair, Sarah S., Jeffrey S. Pulskamp, Ryan Rudy, Ronald Polcawich, Ryan Cable, and Lee Griffin. "Boosting MEMS Piezoelectric Transformer Figures of Merit via Architecture Optimization." IEEE Electron Device Letters 39, no. 3 (March 2018): 428–31. http://dx.doi.org/10.1109/led.2018.2799864.
Full textRamos-Pérez, Eduardo, Pablo J. Alonso-González, and José Javier Núñez-Velázquez. "Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility." Mathematics 9, no. 15 (July 28, 2021): 1794. http://dx.doi.org/10.3390/math9151794.
Full textMeng, Fandong, and Jinchao Zhang. "DTMT: A Novel Deep Transition Architecture for Neural Machine Translation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 224–31. http://dx.doi.org/10.1609/aaai.v33i01.3301224.
Full textChaudhry, Parinnay. "Bidirectional Encoder Representations from Transformers for Modelling Stock Prices." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 896–901. http://dx.doi.org/10.22214/ijraset.2022.40406.
Full textSykiotis, Stavros, Maria Kaselimi, Anastasios Doulamis, and Nikolaos Doulamis. "ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring." Sensors 22, no. 8 (April 11, 2022): 2926. http://dx.doi.org/10.3390/s22082926.
Full textXu, Yuxin, Yuyao Yan, Yiming Lin, Xi Yang, and Kaizhu Huang. "Sketch Based Image Retrieval for Architecture Images with Siamese Swin Transformer." Journal of Physics: Conference Series 2278, no. 1 (May 1, 2022): 012035. http://dx.doi.org/10.1088/1742-6596/2278/1/012035.
Full textWang, Bingting, Ziping Cao, Zhen Luan, and Bo Zhou. "Design and Evaluation of Band-Pass Matching Coupler for Narrow-Band DC Power Line Communications." Journal of Circuits, Systems and Computers 28, no. 07 (June 27, 2019): 1950119. http://dx.doi.org/10.1142/s0218126619501196.
Full text杨, 靖翔. "Research on Chinese Text Error Correction Based on Transformer Enhanced Architecture." Computer Science and Application 12, no. 03 (2022): 565–71. http://dx.doi.org/10.12677/csa.2022.123057.
Full textRaisi, Zobeir, Mohamed A. Naiel, Paul Fieguth, Steven Wardell, and John Zelek. "2D Positional Embedding-based Transformer for Scene Text Recognition." Journal of Computational Vision and Imaging Systems 6, no. 1 (January 15, 2021): 1–4. http://dx.doi.org/10.15353/jcvis.v6i1.3533.
Full textWang, Zeji, Xiaowei He, Yi Li, and Qinliang Chuai. "EmbedFormer: Embedded Depth-Wise Convolution Layer for Token Mixing." Sensors 22, no. 24 (December 15, 2022): 9854. http://dx.doi.org/10.3390/s22249854.
Full textPan, Hang, Lun Xie, and Zhiliang Wang. "Plant and Animal Species Recognition Based on Dynamic Vision Transformer Architecture." Remote Sensing 14, no. 20 (October 20, 2022): 5242. http://dx.doi.org/10.3390/rs14205242.
Full textPrakash, PKS, Srinivas Chilukuri, Nikhil Ranade, and Shankar Viswanathan. "RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 453–60. http://dx.doi.org/10.1609/aaai.v35i1.16122.
Full textChernyshov, Artem, Valentin Klimov, Anita Balandina, and Boris Shchukin. "The Application of Transformer Model Architecture for the Dependency Parsing Task." Procedia Computer Science 190 (2021): 142–45. http://dx.doi.org/10.1016/j.procs.2021.06.018.
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