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Работы, на которые ссылается эта работа

Работ: 62

Работа: MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Статья2016Цитирований: 61
    ABI
  2. MobileNetV2: Inverted Residuals and Linear Bottlenecks

    Mark Sandler, Andrew Howard, Menglong Zhu +2

    Препринт2018Цитирований: 17
    ABI
  3. Densely Connected Convolutional Networks

    Gao Huang, Zhuang Liu, Laurens van der Maaten +1

    Препринт2017Цитирований: 13
    ABI
  4. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

    Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das +3

    Статья2017Цитирований: 6
    ABI
  5. Без названия

    ДругоеЦитирований: 4
    ABI
  6. Using deep transfer learning for image-based plant disease identification

    Junde Chen, Jinxiu Chen, Defu Zhang +2

    Статья2020Цитирований: 3
    ABI
  7. A survey of the vision transformers and their CNN-transformer based variants

    Asifullah Khan, Zunaira Rauf, Anabia Sohail +6

    Статья2023Цитирований: 3
    ABI
  8. Attention embedded residual CNN for disease detection in tomato leaves

    R. Karthik, M. Hariharan, Sundar Anand +3

    Статья2019Цитирований: 2
    ABI
  9. Cucumber disease recognition based on Global-Local Singular value decomposition

    Shanwen Zhang, Zhen Wang

    Статья2016Цитирований: 2
    ABI
  10. Detection of plant leaf diseases using image segmentation and soft computing techniques

    V. K. Singh, Archan Misra

    Статья2016Цитирований: 2
    ABI
  11. Identification of Alfalfa Leaf Diseases Using Image Recognition Technology

    Feng Qin, Dongxia Liu, Bingda Sun +3

    Статья2016Цитирований: 2
    ABI
  12. Plants Disease Identification and Classification Through Leaf Images: A Survey

    Sukhvir Kaur, Shreelekha Pandey, Shivani Goel

    Статья2018Цитирований: 2
    ABI
  13. An automated detection and classification of citrus plant diseases using image processing techniques: A review

    Zahid Iqbal, Muhammad Attique Khan, Muhammad Sharif +3

    Обзорная статья2018Цитирований: 2
    ABI
  14. Albumentations: Fast and Flexible Image Augmentations

    Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya +3

    Статья2020Цитирований: 2
    ABI
  15. PlantDoc

    Davinder Singh, Naman Jain, Pranjali Jain +3

    Препринт2020Цитирований: 2
    ABI
  16. Plant disease detection using computational intelligence and image processing

    Vibhor Kumar Vishnoi, Krishan Kumar, Brajesh Kumar

    Статья2020Цитирований: 2
    ABI
  17. A review of imaging techniques for plant disease detection

    V. K. Singh, Namita Sharma, Shikha Singh

    Обзорная статья2020Цитирований: 2
    ABI
  18. Без названия

    ДругоеЦитирований: 2
    ABI
  19. Detection of oil palm leaf disease based on color histogram and supervised classifier

    Hamdani Hamdani, Anindita Septiarini, Andi Sunyoto +2

    Статья2021Цитирований: 2
    ABI
  20. Efficient attention-based CNN network (EANet) for multi-class maize crop disease classification

    Saleh Albahli, Momina Masood

    Статья2022Цитирований: 2
    ABI
  21. CST: Convolutional Swin Transformer for detecting the degree and types of plant diseases

    Yifan Guo, Yanting Lan, Xiao Dong Chen

    Статья2022Цитирований: 2
    ABI