Optics and Precision Engineering, Volume. 31, Issue 14, 2123(2023)

Weather recognition combining improved ConvNeXt models with knowledge distillation

Libo LIU... Siyu XI* and Zhen DENG* |Show fewer author(s)
Author Affiliations
  • School of Information Engineering, Ningxia University, Yinchuan750021, China
  • show less
    References(23)

    [1] [1] 1路欣,田辉,严玉彬,等.低温雨雪冰冻对交通的影响与防范[C].第27届中国气象学会年会重大天气气候事件与应急气象服务分会场论文集, 2010:344-347.LUX, TIANH, YANY B, et al. Impact of Low Temperature, Rain, Snow and Freezing on Traffic and Prevention[C]. Proceedings of the 27th Annual Meeting of the Chinese Meteorological Society on Major Weather and Climate Events and Emergency Meteorological Services, 2010: 344-347.(in Chinese)

    [2] [2] 2张红艳, 李茵茵, 万伟. 改进K近邻和支持向量机相融合的天气识别[J]. 计算机工程与应用, 2014, 50(14): 148-151, 167. doi: 10.3778/j.issn.1002-8331.1212-0372ZHANGH Y, LIY Y, WANW. Weather identification based on improved K nearest neighbor and sup-port vector machine[J]. Computer Engineering and Applications, 2014, 50(14): 148-151, 167.(in Chinese). doi: 10.3778/j.issn.1002-8331.1212-0372

    [3] [3] 3孟凡军, 李天伟, 徐冠雷, 等. 基于K均值聚类算法的雾天识别方法研究[J]. 现代电子技术, 2015, 38(22): 80-83.MENGF J, LIT W, XUG L, et al. Research on method of foggy weather recognition based on K-means clustering algorithm[J]. Modern Electronics Technique, 2015, 38(22): 80-83.(in Chinese)

    [4] [4] 4于浩, 王孝通, 徐冠雷. 基于贝叶斯分类的雾天和雨天两类天气图像自动识别[J]. 舰船电子工程, 2016, 36(9):73-75, 91. doi: 10.3969/j.issn.1672-9730.2016.09.019YUH, WANGX T, XUG L. Automatic recognition of two different weathers of foggy and rainy based on Bayesian classification[J]. Ship Electronic Engineering, 2016, 36(9):73-75, 91.(in Chinese). doi: 10.3969/j.issn.1672-9730.2016.09.019

    [5] Z ZHANG, H MA, H FU et al. Scene-free multi-class weather classification on single images. Neurocomputing, 207, 365-373(2016).

    [6] [6] 6史静, 朱虹, 韩勇. 户外天气状况分类识别[J]. 计算机系统应用, 2018, 27(4):259-263.SHIJ, ZHUH, HANY. Outdoor weather classification[J]. Computer Systems & Applications, 2018, 27(4):259-263.(in Chinese)

    [7] [7] 7李鹏程, 吕昌峰, 于向茹, 等. 基于分区域特征提取的单张图像天气识别[J]. 济南大学学报(自然科学版), 2020, 34(4): 321-327.LIP C, LYUC F, YUX R, et al. Weather classification of single image based on sub-region feature extraction[J]. Journal of University of Jinan (Science and Technology), 2020, 34(4): 321-327.(in Chinese)

    [8] [8] 8李冰村, 唐晓文, 何建新, 等. 基于机器学习的冰雹天气识别研究[J]. 气象科学, 2022, 42(5): 581-590.LIB C, TANGX W, HEJ X, et al. Hail identification based on machine learning methods[J]. Journal of the Meteorological Sciences, 2022, 42(5): 581-590.(in Chinese)

    [9] [9] 9陈思玮, 贾克斌, 王聪聪, 等. 深度学习在多天气分类算法中的研究与应用[J]. 高技术通讯, 2020, 30(10):1010-1017. doi: 10.3772/j.issn.1002-0470.2020.10.003CHENS W, JIAK B, WANGC C, et al. Research and application of deep learning in multi-weather classification algorithms[J]. Chinese High Technology Letters, 2020, 30(10):1010-1017.(in Chinese). doi: 10.3772/j.issn.1002-0470.2020.10.003

    [10] [10] 10刘奥强, 张旭. 基于ResNet50的恶劣天气识别研究[J]. 智能计算机与应用, 2022, 12(4): 168-171. doi: 10.3969/j.issn.2095-2163.2022.04.030LIUA Q, ZHANGX. Research on severe weather recognition based on ResNet50[J]. Intelligent Computer and Applications, 2022, 12(4): 168-171.(in Chinese). doi: 10.3969/j.issn.2095-2163.2022.04.030

    [11] [11] 11郭志强, 胡永武, 刘鹏, 等. 基于特征融合的室外天气图像分类[J]. 计算机应用, 2020, 40(4):1023-1029. doi: 10.11772/j.issn.1001-9081.2019081449GUOZH Q, HUY W, LIUP, et al. Outdoor weather image classification based on feature fusion[J]. Journal of Computer Applications, 2020, 40(4):1023-1029.(in Chinese). doi: 10.11772/j.issn.1001-9081.2019081449

    [12] [12] 12左杰格, 柳晓鸣, 蔡兵. 基于图像分块与特征融合的户外图像天气识别[J]. 计算机科学, 2022, 49(3):197-203. doi: 10.11896/jsjkx.201200263ZUOJ G, LIUX M, CAIB. Outdoor image weather recognition based on image blocks and feature fusion[J]. Computer Science, 2022, 49(3):197-203.(in Chinese). doi: 10.11896/jsjkx.201200263

    [13] [13] 13崔洪涛, 曹科, 张虎, 等. 基于联合投票网络的交通场景天气分类方法[J]. 西南交通大学学报, 2021, 56(3):579-586.CUIH T, CAOK, ZHANGH, et al. Weather classification in traffic scene based on joint voting network[J]. Journal of Southwest Jiaotong University, 2021, 56(3):579-586.(in Chinese)

    [15] Z LIU, H Z MAO, C Y WU et al. A ConvNet for the 2020s, 11966-11976(18).

    [17] L YANG, R Y ZHANG, L Li et al. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks, 11863-11874(2021).

    [18] T Y LIN, P GOYAL, R GIRSHICK et al. Focal loss for dense object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 318-327(2020).

    [19] B LI, Y Q YAO, J R TAN et al. Equalized Focal Loss for Dense Long-Tailed Object Detection, 6980-6989(18).

    [20] D L CHANG, Y F DING, J Y XIE et al. The devil is in the channels: mutual-channel loss for fine-grained image classification. IEEE Transactions on Image Processing, 29, 4683-4695(2020).

    [21] D LIN, C W LU, H HUANG et al. RSCM: region selection and concurrency model for multi-class weather recognition. IEEE Transactions on Image Processing, 26, 4154-4167(2017).

    [22] Z LIU, Y T LIN, Y CAO et al. Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows, 9992-10002(2022).

    [23] A HOWARD, M SANDLER, B CHEN et al. Searching for MobileNetV3, 1314-1324(2019).

    Tools

    Get Citation

    Copy Citation Text

    Libo LIU, Siyu XI, Zhen DENG. Weather recognition combining improved ConvNeXt models with knowledge distillation[J]. Optics and Precision Engineering, 2023, 31(14): 2123

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Nov. 11, 2022

    Accepted: --

    Published Online: Aug. 2, 2023

    The Author Email: XI Siyu (xisiyu852@qq.com), DENG Zhen (dengzhen1025@163.com)

    DOI:10.37188/OPE.20233114.2123

    Topics