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Khudayberdiev, Otabek and Zhang, Jiashu and Elkhalil, Ahmed and Balde, Lansana, \"Fire Detection Approach Based on Vision Transformer,\" , in International Conference on Adaptive and Intelligent Systems, 2022, pp. 41-53."},{"key":"e_1_3_2_1_14_1","volume-title":"Sylvain and others, \"An image is worth 16x16 words: Transformers for image recognition at scale,\" arXiv preprint arXiv:2010.11929","author":"Dosovitskiy Alexey","year":"2020","unstructured":"Dosovitskiy , Alexey and Beyer , Lucas and Kolesnikov , Alexander and Weissenborn , Dirk and Zhai , Xiaohua and Unterthiner , Thomas and Dehghani , Mostafa and Minderer , Matthias and Heigold , Georg and Gelly , Sylvain and others, \"An image is worth 16x16 words: Transformers for image recognition at scale,\" arXiv preprint arXiv:2010.11929 , 2020 . 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Zhou, You and Wu, Mei and Bai, Yong and Guo, Chenglin, \"Flame Detection with Pruned and Knowledge Distilled YOLOv5,\" , in 2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT), 2021, pp. 780-785."},{"key":"e_1_3_2_1_17_1","volume-title":"Real-Time Video Fire Detection via Modified YOLOv5 Network Model. Fire Technology","author":"Wu Z","year":"2022","unstructured":"Wu . Z , Xue . R, Li . H. Real-Time Video Fire Detection via Modified YOLOv5 Network Model. Fire Technology , 2022 : 1\u223c27 Wu. Z, Xue. R, Li. H. Real-Time Video Fire Detection via Modified YOLOv5 Network Model. Fire Technology, 2022: 1\u223c27"},{"key":"e_1_3_2_1_18_1","volume-title":"Oct.","author":"Jocher","year":"2020","unstructured":"G. Jocher , Ultralytics\/Yolov5 : V3.1 Bug Fixes and Performance Improvements , Oct. 2020 , doi: 10.5281\/zenodo.4154370. [Online]. Available: https:\/\/github.com\/ultralytics\/yolov5 10.5281\/zenodo.4154370 G. Jocher, Ultralytics\/Yolov5: V3.1 Bug Fixes and Performance Improvements, Oct. 2020, doi: 10.5281\/zenodo.4154370. [Online]. Available: https:\/\/github.com\/ultralytics\/yolov5"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 13713-13722)","author":"Hou Q.","year":"2021","unstructured":"Hou , Q. , Zhou , D., & Feng , J. ( 2021 ). Coordinate attention for efficient mobile network design . In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 13713-13722) . Hou, Q., Zhou, D., & Feng, J. (2021). Coordinate attention for efficient mobile network design. 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