Artigos de revistas sobre o tema "YOLOX"
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Mao, Yitong. "A pedestrian detection algorithm for low light and dense crowd Based on improved YOLO algorithm". MATEC Web of Conferences 355 (2022): 03020. http://dx.doi.org/10.1051/matecconf/202235503020.
Texto completo da fonteDeng, Xiangwu, Long Qi, Zhuwen Liu, Song Liang, Kunsong Gong e Guangjun Qiu. "Weed target detection at seedling stage in paddy fields based on YOLOX". PLOS ONE 18, n.º 12 (13 de dezembro de 2023): e0294709. http://dx.doi.org/10.1371/journal.pone.0294709.
Texto completo da fonteLi, Quanyang, Zhongqiang Luo, Xiangjie He e Hongbo Chen. "LA_YOLOx: Effective Model to Detect the Surface Defects of Insulative Baffles". Electronics 12, n.º 9 (27 de abril de 2023): 2035. http://dx.doi.org/10.3390/electronics12092035.
Texto completo da fonteZhang, Yao, Ke Jiong Shen, Zhen Fang He e Zhi Song Pan. "YOLO-infrared: Enhancing YOLOX for Infrared Scene". Journal of Physics: Conference Series 2405, n.º 1 (1 de dezembro de 2022): 012015. http://dx.doi.org/10.1088/1742-6596/2405/1/012015.
Texto completo da fonteWang, Yaxin, Xinyuan Liu, Fanzhen Wang, Dongyue Ren, Yang Li, Zhimin Mu, Shide Li e Yongcheng Jiang. "Self-Attention-Mechanism-Improved YoloX-S for Briquette Biofuels Object Detection". Sustainability 15, n.º 19 (3 de outubro de 2023): 14437. http://dx.doi.org/10.3390/su151914437.
Texto completo da fonteAshraf, Imran, Soojung Hur, Gunzung Kim e Yongwan Park. "Analyzing Performance of YOLOx for Detecting Vehicles in Bad Weather Conditions". Sensors 24, n.º 2 (14 de janeiro de 2024): 522. http://dx.doi.org/10.3390/s24020522.
Texto completo da fonteRaimundo, António, João Pedro Pavia, Pedro Sebastião e Octavian Postolache. "YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections". Sensors 23, n.º 10 (11 de maio de 2023): 4681. http://dx.doi.org/10.3390/s23104681.
Texto completo da fonteСлюсар, Вадим Іванович Слюсар. "Нейромережний метод підводного виявлення боєприпасів, що не спрацювали". Известия высших учебных заведений. Радиоэлектроника 65, n.º 12 (26 de dezembro de 2022): 766–77. http://dx.doi.org/10.20535/s0021347023030020.
Texto completo da fonteZhou, Xinzhu, Guoxiang Sun, Naimin Xu, Xiaolei Zhang, Jiaqi Cai, Yunpeng Yuan e Yinfeng Huang. "A Method of Modern Standardized Apple Orchard Flowering Monitoring Based on S-YOLO". Agriculture 13, n.º 2 (4 de fevereiro de 2023): 380. http://dx.doi.org/10.3390/agriculture13020380.
Texto completo da fontePan, Haixia, Jiahua Lan, Hongqiang Wang, Yanan Li, Meng Zhang, Mojie Ma, Dongdong Zhang e Xiaoran Zhao. "UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection". Sensors 23, n.º 10 (18 de maio de 2023): 4859. http://dx.doi.org/10.3390/s23104859.
Texto completo da fonteWu, Yuhuan, e Yonghong Wu. "Enhanced YOLOX with United Attention Head for Road Detetion When Driving". Mathematics 12, n.º 9 (27 de abril de 2024): 1331. http://dx.doi.org/10.3390/math12091331.
Texto completo da fonteFerdous, Md, e Sk Md Masudul Ahsan. "PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites". PeerJ Computer Science 8 (17 de junho de 2022): e999. http://dx.doi.org/10.7717/peerj-cs.999.
Texto completo da fonteLuan, Tian, Shixiong Zhou, Guokang Zhang, Zechun Song, Jiahui Wu e Weijun Pan. "Enhanced Lightweight YOLOX for Small Object Wildfire Detection in UAV Imagery". Sensors 24, n.º 9 (24 de abril de 2024): 2710. http://dx.doi.org/10.3390/s24092710.
Texto completo da fonteZhang, Lijuan, Cuixing Zhao, Yuncong Feng e Dongming Li. "Pests Identification of IP102 by YOLOv5 Embedded with the Novel Lightweight Module". Agronomy 13, n.º 6 (12 de junho de 2023): 1583. http://dx.doi.org/10.3390/agronomy13061583.
Texto completo da fonteLi, Yong, Ruichen Wang, Dongxu Gao e Zhiyong Liu. "A Floating-Waste-Detection Method for Unmanned Surface Vehicle Based on Feature Fusion and Enhancement". Journal of Marine Science and Engineering 11, n.º 12 (26 de novembro de 2023): 2234. http://dx.doi.org/10.3390/jmse11122234.
Texto completo da fonteMa, Songzhe, Huimin Lu, Yifan Wang e Han Xue. "YOLOX-Mobile: A Target Detection Algorithm More Suitable for Mobile Devices". Journal of Physics: Conference Series 2203, n.º 1 (1 de fevereiro de 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2203/1/012030.
Texto completo da fonteLuo, Hui, Jiamin Li, Lianming Cai e Mingquan Wu. "STrans-YOLOX: Fusing Swin Transformer and YOLOX for Automatic Pavement Crack Detection". Applied Sciences 13, n.º 3 (3 de fevereiro de 2023): 1999. http://dx.doi.org/10.3390/app13031999.
Texto completo da fonteRen, Cheng, Shouming Hou, Jianchao Hou e Yuteng Pang. "SwiF-YOLO: A Deep Learning Method for Lung Nodule Detection". International Journal of Biology and Life Sciences 5, n.º 2 (29 de março de 2024): 20–27. http://dx.doi.org/10.54097/rcx9h636.
Texto completo da fonteMa, Shihao, Jiao Wu, Zhijun Zhang e Yala Tong. "Application of Enhanced YOLOX for Debris Flow Detection in Remote Sensing Images". Applied Sciences 14, n.º 5 (5 de março de 2024): 2158. http://dx.doi.org/10.3390/app14052158.
Texto completo da fonteNguyen, Hoan-Viet, Jun-Hee Bae, Yong-Eun Lee, Han-Sung Lee e Ki-Ryong Kwon. "Comparison of Pre-Trained YOLO Models on Steel Surface Defects Detector Based on Transfer Learning with GPU-Based Embedded Devices". Sensors 22, n.º 24 (16 de dezembro de 2022): 9926. http://dx.doi.org/10.3390/s22249926.
Texto completo da fonteLan, Yubin, Shaoming Lin, Hewen Du, Yaqi Guo e Xiaoling Deng. "Real-Time UAV Patrol Technology in Orchard Based on the Swin-T YOLOX Lightweight Model". Remote Sensing 14, n.º 22 (17 de novembro de 2022): 5806. http://dx.doi.org/10.3390/rs14225806.
Texto completo da fonteLin, Junran, Cuimei Yang, Yi Lu, Yuxing Cai, Hanjie Zhan e Zhen Zhang. "An Improved Soft-YOLOX for Garbage Quantity Identification". Mathematics 10, n.º 15 (28 de julho de 2022): 2650. http://dx.doi.org/10.3390/math10152650.
Texto completo da fonteLi, Zhiyong, Xueqin Jiang, Luyu Shuai, Boda Zhang, Yiyu Yang e Jiong Mu. "A Real-Time Detection Algorithm for Sweet Cherry Fruit Maturity Based on YOLOX in the Natural Environment". Agronomy 12, n.º 10 (12 de outubro de 2022): 2482. http://dx.doi.org/10.3390/agronomy12102482.
Texto completo da fonteGuo, Yongping, Ying Chen, Jianzhi Deng, Shuiwang Li e Hui Zhou. "Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark". Sensors 23, n.º 1 (22 de dezembro de 2022): 92. http://dx.doi.org/10.3390/s23010092.
Texto completo da fonteLiu, Sha, Yongliang Qiao, Jiawei Li, Haotian Zhang, Mingke Zhang e Meili Wang. "An Improved Lightweight Network for Real-Time Detection of Apple Leaf Diseases in Natural Scenes". Agronomy 12, n.º 10 (30 de setembro de 2022): 2363. http://dx.doi.org/10.3390/agronomy12102363.
Texto completo da fonteYang, Lei, Guowu Yuan, Hao Zhou, Hongyu Liu, Jian Chen e Hao Wu. "RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images". Applied Sciences 12, n.º 17 (30 de agosto de 2022): 8707. http://dx.doi.org/10.3390/app12178707.
Texto completo da fonteLi, Shanni, Zhensheng Yang, Huabei Nie e Xiao Chen. "Corn Disease Detection Based on an Improved YOLOX-Tiny Network Model". International Journal of Cognitive Informatics and Natural Intelligence 16, n.º 1 (1 de janeiro de 2022): 1–8. http://dx.doi.org/10.4018/ijcini.309990.
Texto completo da fonteHu, Chunsheng, Yong Zhao, Fangjuan Cheng e Zhiping Li. "Multi-Object Detection Algorithm in Wind Turbine Nacelles Based on Improved YOLOX-Nano". Energies 16, n.º 3 (18 de janeiro de 2023): 1082. http://dx.doi.org/10.3390/en16031082.
Texto completo da fonteYu, Hongxia, Lijun Yun, Zaiqing Chen, Feiyan Cheng e Chunjie Zhang. "A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution". Computational Intelligence and Neuroscience 2023 (24 de janeiro de 2023): 1–10. http://dx.doi.org/10.1155/2023/2506274.
Texto completo da fonteWu, You, Hengzhou Ye, Yaqing Yang, Zhaodong Wang e Shuiwang Li. "Liquid Content Detection In Transparent Containers: A Benchmark". Sensors 23, n.º 15 (25 de julho de 2023): 6656. http://dx.doi.org/10.3390/s23156656.
Texto completo da fonteAhmed, Faisal, Waheed Noor, Mohammad Atif Nasim, Ihsan Ullah e Abdul Basit. "Vegetation and Non-Vegetation Classification Using Object Detection Techniques and Deep Learning from Low/Mixed Resolution Satellite Images". Pakistan Journal of Emerging Science and Technologies (PJEST) 4, n.º 4 (30 de dezembro de 2023): 1–18. http://dx.doi.org/10.58619/pjest.v4i4.152.
Texto completo da fonteHou, Heyi, Mingxia Chen, Yongbo Tie e Weile Li. "A Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX". Remote Sensing 14, n.º 19 (3 de outubro de 2022): 4939. http://dx.doi.org/10.3390/rs14194939.
Texto completo da fonteRen, Keying, Xiaoyan Chen, Zichen Wang, Xiaoning Yan e Dongyang Zhang. "Fruit Recognition Based on YOLOX*". Proceedings of International Conference on Artificial Life and Robotics 27 (20 de janeiro de 2022): 470–73. http://dx.doi.org/10.5954/icarob.2022.os11-3.
Texto completo da fonteYao, Yuan, Guozhong Wang e Jinhui Fan. "WT-YOLOX: An Efficient Detection Algorithm for Wind Turbine Blade Damage Based on YOLOX". Energies 16, n.º 9 (28 de abril de 2023): 3776. http://dx.doi.org/10.3390/en16093776.
Texto completo da fonteHuang, Jiarun, Zhili He, Yuwei Guan e Hongguo Zhang. "Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method". Sensors 23, n.º 4 (8 de fevereiro de 2023): 1894. http://dx.doi.org/10.3390/s23041894.
Texto completo da fonteWu, Minghu, Leming Guo, Rui Chen, Wanyin Du, Juan Wang, Min Liu, Xiangbin Kong e Jing Tang. "Improved YOLOX Foreign Object Detection Algorithm for Transmission Lines". Wireless Communications and Mobile Computing 2022 (20 de outubro de 2022): 1–10. http://dx.doi.org/10.1155/2022/5835693.
Texto completo da fonteLuo, Maolin, Linghua Xu, Yongliang Yang, Min Cao e Jing Yang. "Laboratory Flame Smoke Detection Based on an Improved YOLOX Algorithm". Applied Sciences 12, n.º 24 (15 de dezembro de 2022): 12876. http://dx.doi.org/10.3390/app122412876.
Texto completo da fonteXu, Ying, Dongsheng Zhong, Jianhong Zhou, Ziyi Jiang, Yikui Zhai e Zilu Ying. "A Novel UAV Visual Positioning Algorithm Based on A-YOLOX". Drones 6, n.º 11 (18 de novembro de 2022): 362. http://dx.doi.org/10.3390/drones6110362.
Texto completo da fonteHsieh, Chen-Chiung, Men-Ru Lu e Hsiao-Ting Tseng. "Automatic Speaker Positioning in Meetings Based on YOLO and TDOA". Sensors 23, n.º 14 (8 de julho de 2023): 6250. http://dx.doi.org/10.3390/s23146250.
Texto completo da fonteChanghao Dong, Changhao Dong, Chao Zhang Changhao Dong, Jianjun Li Chao Zhang e Jiaxue Liu Jianjun Li. "Surface Defect Recognition of Wind Turbine Blades Based on Improved YOLOX-X Model". 電腦學刊 34, n.º 2 (abril de 2023): 019–27. http://dx.doi.org/10.53106/199115992023043402002.
Texto completo da fonteWang, Yuxue, Hao Dong, Songyu Bai, Yang Yu e Qingwei Duan. "Image Recognition and Classification of Farmland Pests Based on Improved Yolox-tiny Algorithm". Applied Sciences 14, n.º 13 (26 de junho de 2024): 5568. http://dx.doi.org/10.3390/app14135568.
Texto completo da fonteTu, Shuqin, Qiantao Zeng, Yun Liang, Xiaolong Liu, Lei Huang, Shitong Weng e Qiong Huang. "Automated Behavior Recognition and Tracking of Group-Housed Pigs with an Improved DeepSORT Method". Agriculture 12, n.º 11 (12 de novembro de 2022): 1907. http://dx.doi.org/10.3390/agriculture12111907.
Texto completo da fonteLi, Huaicheng, Hengwei Zhang, Yisheng Zhang, Shengmin Zhang, Yanlong Peng, Zhigang Wang, Huawei Song e Ming Chen. "An Accurate Activate Screw Detection Method for Automatic Electric Vehicle Battery Disassembly". Batteries 9, n.º 3 (21 de março de 2023): 187. http://dx.doi.org/10.3390/batteries9030187.
Texto completo da fonteWang, Biwen, Jing Zhou, Martin Costa, Shawn M. Kaeppler e Zhou Zhang. "Plot-Level Maize Early Stage Stand Counting and Spacing Detection Using Advanced Deep Learning Algorithms Based on UAV Imagery". Agronomy 13, n.º 7 (27 de junho de 2023): 1728. http://dx.doi.org/10.3390/agronomy13071728.
Texto completo da fonteLiu, Youfu, Deqin Xiao, Jiaxin Zhou e Shengqiu Zhao. "AFF-YOLOX: An improved lightweight YOLOX network to detect early hatching information of duck eggs". Computers and Electronics in Agriculture 210 (julho de 2023): 107893. http://dx.doi.org/10.1016/j.compag.2023.107893.
Texto completo da fonteFeng, Jintao, Zhipeng Wang, Shuai Wang, Shijie Tian e Huirong Xu. "MSDD-YOLOX: An enhanced YOLOX for real-time surface defect detection of oranges by type". European Journal of Agronomy 149 (setembro de 2023): 126918. http://dx.doi.org/10.1016/j.eja.2023.126918.
Texto completo da fonteZhang, Jianfei, e Sai Ke. "Improved YOLOX Fire Scenario Detection Method". Wireless Communications and Mobile Computing 2022 (10 de março de 2022): 1–8. http://dx.doi.org/10.1155/2022/9666265.
Texto completo da fonteLiao, Weichen. "Research on Detection Algorithm of Safety helmet based on improved YOLOX". Frontiers in Computing and Intelligent Systems 3, n.º 2 (18 de abril de 2023): 136–38. http://dx.doi.org/10.54097/fcis.v3i2.7690.
Texto completo da fonteWang, Jun, Shuman Qi, Chao Wang, Jin Luo, Xin Wen e Rui Cao. "B-YOLOX-S: A Lightweight Method for Underwater Object Detection Based on Data Augmentation and Multiscale Feature Fusion". Journal of Marine Science and Engineering 10, n.º 11 (16 de novembro de 2022): 1764. http://dx.doi.org/10.3390/jmse10111764.
Texto completo da fonteYang, Lei, Guowu Yuan, Hao Wu e Wenhua Qian. "An ultra-lightweight detector with high accuracy and speed for aerial images". Mathematical Biosciences and Engineering 20, n.º 8 (2023): 13947–73. http://dx.doi.org/10.3934/mbe.2023621.
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