MFNet: Multi-scale feature enhancement networks for wheat head detection and counting in complex scene

This publication has 28 references indexed in Scilit:

• A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images
  Computers and Electronics in Agriculture, 2022
• WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting
  Neurocomputing, 2022
• Monitoring agriculture areas with satellite images and deep learning
  Applied Soft Computing, 2020
• A compilation of UAV applications for precision agriculture
  Computer Networks, 2020
• Remote sensing for agricultural applications: A meta-review
  Remote Sensing of Environment, 2020
• Deformable Convolutional Networks
  2017
• Feature Pyramid Networks for Object Detection
  2017
• In-field automatic observation of wheat heading stage using computer vision
  Biosystems Engineering, 2016
• Detection of aphids in wheat fields using a computer vision technique
  Biosystems Engineering, 2016
• The Pascal Visual Object Classes Challenge: A Retrospective
  International Journal of Computer Vision, 2014