Artykuły w czasopismach na temat „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.
Pełny tekst źródłaDeng, Xiangwu, Long Qi, Zhuwen Liu, Song Liang, Kunsong Gong i Guangjun Qiu. "Weed target detection at seedling stage in paddy fields based on YOLOX". PLOS ONE 18, nr 12 (13.12.2023): e0294709. http://dx.doi.org/10.1371/journal.pone.0294709.
Pełny tekst źródłaLi, Quanyang, Zhongqiang Luo, Xiangjie He i Hongbo Chen. "LA_YOLOx: Effective Model to Detect the Surface Defects of Insulative Baffles". Electronics 12, nr 9 (27.04.2023): 2035. http://dx.doi.org/10.3390/electronics12092035.
Pełny tekst źródłaZhang, Yao, Ke Jiong Shen, Zhen Fang He i Zhi Song Pan. "YOLO-infrared: Enhancing YOLOX for Infrared Scene". Journal of Physics: Conference Series 2405, nr 1 (1.12.2022): 012015. http://dx.doi.org/10.1088/1742-6596/2405/1/012015.
Pełny tekst źródłaWang, Yaxin, Xinyuan Liu, Fanzhen Wang, Dongyue Ren, Yang Li, Zhimin Mu, Shide Li i Yongcheng Jiang. "Self-Attention-Mechanism-Improved YoloX-S for Briquette Biofuels Object Detection". Sustainability 15, nr 19 (3.10.2023): 14437. http://dx.doi.org/10.3390/su151914437.
Pełny tekst źródłaAshraf, Imran, Soojung Hur, Gunzung Kim i Yongwan Park. "Analyzing Performance of YOLOx for Detecting Vehicles in Bad Weather Conditions". Sensors 24, nr 2 (14.01.2024): 522. http://dx.doi.org/10.3390/s24020522.
Pełny tekst źródłaRaimundo, António, João Pedro Pavia, Pedro Sebastião i Octavian Postolache. "YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections". Sensors 23, nr 10 (11.05.2023): 4681. http://dx.doi.org/10.3390/s23104681.
Pełny tekst źródłaСлюсар, Вадим Іванович Слюсар. "Нейромережний метод підводного виявлення боєприпасів, що не спрацювали". Известия высших учебных заведений. Радиоэлектроника 65, nr 12 (26.12.2022): 766–77. http://dx.doi.org/10.20535/s0021347023030020.
Pełny tekst źródłaZhou, Xinzhu, Guoxiang Sun, Naimin Xu, Xiaolei Zhang, Jiaqi Cai, Yunpeng Yuan i Yinfeng Huang. "A Method of Modern Standardized Apple Orchard Flowering Monitoring Based on S-YOLO". Agriculture 13, nr 2 (4.02.2023): 380. http://dx.doi.org/10.3390/agriculture13020380.
Pełny tekst źródłaPan, Haixia, Jiahua Lan, Hongqiang Wang, Yanan Li, Meng Zhang, Mojie Ma, Dongdong Zhang i Xiaoran Zhao. "UWV-Yolox: A Deep Learning Model for Underwater Video Object Detection". Sensors 23, nr 10 (18.05.2023): 4859. http://dx.doi.org/10.3390/s23104859.
Pełny tekst źródłaWu, Yuhuan, i Yonghong Wu. "Enhanced YOLOX with United Attention Head for Road Detetion When Driving". Mathematics 12, nr 9 (27.04.2024): 1331. http://dx.doi.org/10.3390/math12091331.
Pełny tekst źródłaFerdous, Md, i Sk Md Masudul Ahsan. "PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites". PeerJ Computer Science 8 (17.06.2022): e999. http://dx.doi.org/10.7717/peerj-cs.999.
Pełny tekst źródłaLuan, Tian, Shixiong Zhou, Guokang Zhang, Zechun Song, Jiahui Wu i Weijun Pan. "Enhanced Lightweight YOLOX for Small Object Wildfire Detection in UAV Imagery". Sensors 24, nr 9 (24.04.2024): 2710. http://dx.doi.org/10.3390/s24092710.
Pełny tekst źródłaZhang, Lijuan, Cuixing Zhao, Yuncong Feng i Dongming Li. "Pests Identification of IP102 by YOLOv5 Embedded with the Novel Lightweight Module". Agronomy 13, nr 6 (12.06.2023): 1583. http://dx.doi.org/10.3390/agronomy13061583.
Pełny tekst źródłaLi, Yong, Ruichen Wang, Dongxu Gao i Zhiyong Liu. "A Floating-Waste-Detection Method for Unmanned Surface Vehicle Based on Feature Fusion and Enhancement". Journal of Marine Science and Engineering 11, nr 12 (26.11.2023): 2234. http://dx.doi.org/10.3390/jmse11122234.
Pełny tekst źródłaMa, Songzhe, Huimin Lu, Yifan Wang i Han Xue. "YOLOX-Mobile: A Target Detection Algorithm More Suitable for Mobile Devices". Journal of Physics: Conference Series 2203, nr 1 (1.02.2022): 012030. http://dx.doi.org/10.1088/1742-6596/2203/1/012030.
Pełny tekst źródłaLuo, Hui, Jiamin Li, Lianming Cai i Mingquan Wu. "STrans-YOLOX: Fusing Swin Transformer and YOLOX for Automatic Pavement Crack Detection". Applied Sciences 13, nr 3 (3.02.2023): 1999. http://dx.doi.org/10.3390/app13031999.
Pełny tekst źródłaRen, Cheng, Shouming Hou, Jianchao Hou i Yuteng Pang. "SwiF-YOLO: A Deep Learning Method for Lung Nodule Detection". International Journal of Biology and Life Sciences 5, nr 2 (29.03.2024): 20–27. http://dx.doi.org/10.54097/rcx9h636.
Pełny tekst źródłaMa, Shihao, Jiao Wu, Zhijun Zhang i Yala Tong. "Application of Enhanced YOLOX for Debris Flow Detection in Remote Sensing Images". Applied Sciences 14, nr 5 (5.03.2024): 2158. http://dx.doi.org/10.3390/app14052158.
Pełny tekst źródłaNguyen, Hoan-Viet, Jun-Hee Bae, Yong-Eun Lee, Han-Sung Lee i 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, nr 24 (16.12.2022): 9926. http://dx.doi.org/10.3390/s22249926.
Pełny tekst źródłaLan, Yubin, Shaoming Lin, Hewen Du, Yaqi Guo i Xiaoling Deng. "Real-Time UAV Patrol Technology in Orchard Based on the Swin-T YOLOX Lightweight Model". Remote Sensing 14, nr 22 (17.11.2022): 5806. http://dx.doi.org/10.3390/rs14225806.
Pełny tekst źródłaLin, Junran, Cuimei Yang, Yi Lu, Yuxing Cai, Hanjie Zhan i Zhen Zhang. "An Improved Soft-YOLOX for Garbage Quantity Identification". Mathematics 10, nr 15 (28.07.2022): 2650. http://dx.doi.org/10.3390/math10152650.
Pełny tekst źródłaLi, Zhiyong, Xueqin Jiang, Luyu Shuai, Boda Zhang, Yiyu Yang i Jiong Mu. "A Real-Time Detection Algorithm for Sweet Cherry Fruit Maturity Based on YOLOX in the Natural Environment". Agronomy 12, nr 10 (12.10.2022): 2482. http://dx.doi.org/10.3390/agronomy12102482.
Pełny tekst źródłaGuo, Yongping, Ying Chen, Jianzhi Deng, Shuiwang Li i Hui Zhou. "Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark". Sensors 23, nr 1 (22.12.2022): 92. http://dx.doi.org/10.3390/s23010092.
Pełny tekst źródłaLiu, Sha, Yongliang Qiao, Jiawei Li, Haotian Zhang, Mingke Zhang i Meili Wang. "An Improved Lightweight Network for Real-Time Detection of Apple Leaf Diseases in Natural Scenes". Agronomy 12, nr 10 (30.09.2022): 2363. http://dx.doi.org/10.3390/agronomy12102363.
Pełny tekst źródłaYang, Lei, Guowu Yuan, Hao Zhou, Hongyu Liu, Jian Chen i Hao Wu. "RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images". Applied Sciences 12, nr 17 (30.08.2022): 8707. http://dx.doi.org/10.3390/app12178707.
Pełny tekst źródłaLi, Shanni, Zhensheng Yang, Huabei Nie i Xiao Chen. "Corn Disease Detection Based on an Improved YOLOX-Tiny Network Model". International Journal of Cognitive Informatics and Natural Intelligence 16, nr 1 (1.01.2022): 1–8. http://dx.doi.org/10.4018/ijcini.309990.
Pełny tekst źródłaHu, Chunsheng, Yong Zhao, Fangjuan Cheng i Zhiping Li. "Multi-Object Detection Algorithm in Wind Turbine Nacelles Based on Improved YOLOX-Nano". Energies 16, nr 3 (18.01.2023): 1082. http://dx.doi.org/10.3390/en16031082.
Pełny tekst źródłaYu, Hongxia, Lijun Yun, Zaiqing Chen, Feiyan Cheng i Chunjie Zhang. "A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution". Computational Intelligence and Neuroscience 2023 (24.01.2023): 1–10. http://dx.doi.org/10.1155/2023/2506274.
Pełny tekst źródłaWu, You, Hengzhou Ye, Yaqing Yang, Zhaodong Wang i Shuiwang Li. "Liquid Content Detection In Transparent Containers: A Benchmark". Sensors 23, nr 15 (25.07.2023): 6656. http://dx.doi.org/10.3390/s23156656.
Pełny tekst źródłaAhmed, Faisal, Waheed Noor, Mohammad Atif Nasim, Ihsan Ullah i 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, nr 4 (30.12.2023): 1–18. http://dx.doi.org/10.58619/pjest.v4i4.152.
Pełny tekst źródłaHou, Heyi, Mingxia Chen, Yongbo Tie i Weile Li. "A Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX". Remote Sensing 14, nr 19 (3.10.2022): 4939. http://dx.doi.org/10.3390/rs14194939.
Pełny tekst źródłaRen, Keying, Xiaoyan Chen, Zichen Wang, Xiaoning Yan i Dongyang Zhang. "Fruit Recognition Based on YOLOX*". Proceedings of International Conference on Artificial Life and Robotics 27 (20.01.2022): 470–73. http://dx.doi.org/10.5954/icarob.2022.os11-3.
Pełny tekst źródłaYao, Yuan, Guozhong Wang i Jinhui Fan. "WT-YOLOX: An Efficient Detection Algorithm for Wind Turbine Blade Damage Based on YOLOX". Energies 16, nr 9 (28.04.2023): 3776. http://dx.doi.org/10.3390/en16093776.
Pełny tekst źródłaHuang, Jiarun, Zhili He, Yuwei Guan i Hongguo Zhang. "Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method". Sensors 23, nr 4 (8.02.2023): 1894. http://dx.doi.org/10.3390/s23041894.
Pełny tekst źródłaWu, Minghu, Leming Guo, Rui Chen, Wanyin Du, Juan Wang, Min Liu, Xiangbin Kong i Jing Tang. "Improved YOLOX Foreign Object Detection Algorithm for Transmission Lines". Wireless Communications and Mobile Computing 2022 (20.10.2022): 1–10. http://dx.doi.org/10.1155/2022/5835693.
Pełny tekst źródłaLuo, Maolin, Linghua Xu, Yongliang Yang, Min Cao i Jing Yang. "Laboratory Flame Smoke Detection Based on an Improved YOLOX Algorithm". Applied Sciences 12, nr 24 (15.12.2022): 12876. http://dx.doi.org/10.3390/app122412876.
Pełny tekst źródłaXu, Ying, Dongsheng Zhong, Jianhong Zhou, Ziyi Jiang, Yikui Zhai i Zilu Ying. "A Novel UAV Visual Positioning Algorithm Based on A-YOLOX". Drones 6, nr 11 (18.11.2022): 362. http://dx.doi.org/10.3390/drones6110362.
Pełny tekst źródłaHsieh, Chen-Chiung, Men-Ru Lu i Hsiao-Ting Tseng. "Automatic Speaker Positioning in Meetings Based on YOLO and TDOA". Sensors 23, nr 14 (8.07.2023): 6250. http://dx.doi.org/10.3390/s23146250.
Pełny tekst źródłaChanghao Dong, Changhao Dong, Chao Zhang Changhao Dong, Jianjun Li Chao Zhang i Jiaxue Liu Jianjun Li. "Surface Defect Recognition of Wind Turbine Blades Based on Improved YOLOX-X Model". 電腦學刊 34, nr 2 (kwiecień 2023): 019–27. http://dx.doi.org/10.53106/199115992023043402002.
Pełny tekst źródłaWang, Yuxue, Hao Dong, Songyu Bai, Yang Yu i Qingwei Duan. "Image Recognition and Classification of Farmland Pests Based on Improved Yolox-tiny Algorithm". Applied Sciences 14, nr 13 (26.06.2024): 5568. http://dx.doi.org/10.3390/app14135568.
Pełny tekst źródłaTu, Shuqin, Qiantao Zeng, Yun Liang, Xiaolong Liu, Lei Huang, Shitong Weng i Qiong Huang. "Automated Behavior Recognition and Tracking of Group-Housed Pigs with an Improved DeepSORT Method". Agriculture 12, nr 11 (12.11.2022): 1907. http://dx.doi.org/10.3390/agriculture12111907.
Pełny tekst źródłaLi, Huaicheng, Hengwei Zhang, Yisheng Zhang, Shengmin Zhang, Yanlong Peng, Zhigang Wang, Huawei Song i Ming Chen. "An Accurate Activate Screw Detection Method for Automatic Electric Vehicle Battery Disassembly". Batteries 9, nr 3 (21.03.2023): 187. http://dx.doi.org/10.3390/batteries9030187.
Pełny tekst źródłaWang, Biwen, Jing Zhou, Martin Costa, Shawn M. Kaeppler i Zhou Zhang. "Plot-Level Maize Early Stage Stand Counting and Spacing Detection Using Advanced Deep Learning Algorithms Based on UAV Imagery". Agronomy 13, nr 7 (27.06.2023): 1728. http://dx.doi.org/10.3390/agronomy13071728.
Pełny tekst źródłaLiu, Youfu, Deqin Xiao, Jiaxin Zhou i Shengqiu Zhao. "AFF-YOLOX: An improved lightweight YOLOX network to detect early hatching information of duck eggs". Computers and Electronics in Agriculture 210 (lipiec 2023): 107893. http://dx.doi.org/10.1016/j.compag.2023.107893.
Pełny tekst źródłaFeng, Jintao, Zhipeng Wang, Shuai Wang, Shijie Tian i Huirong Xu. "MSDD-YOLOX: An enhanced YOLOX for real-time surface defect detection of oranges by type". European Journal of Agronomy 149 (wrzesień 2023): 126918. http://dx.doi.org/10.1016/j.eja.2023.126918.
Pełny tekst źródłaZhang, Jianfei, i Sai Ke. "Improved YOLOX Fire Scenario Detection Method". Wireless Communications and Mobile Computing 2022 (10.03.2022): 1–8. http://dx.doi.org/10.1155/2022/9666265.
Pełny tekst źródłaLiao, Weichen. "Research on Detection Algorithm of Safety helmet based on improved YOLOX". Frontiers in Computing and Intelligent Systems 3, nr 2 (18.04.2023): 136–38. http://dx.doi.org/10.54097/fcis.v3i2.7690.
Pełny tekst źródłaWang, Jun, Shuman Qi, Chao Wang, Jin Luo, Xin Wen i 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, nr 11 (16.11.2022): 1764. http://dx.doi.org/10.3390/jmse10111764.
Pełny tekst źródłaYang, Lei, Guowu Yuan, Hao Wu i Wenhua Qian. "An ultra-lightweight detector with high accuracy and speed for aerial images". Mathematical Biosciences and Engineering 20, nr 8 (2023): 13947–73. http://dx.doi.org/10.3934/mbe.2023621.
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