Asp-det: toward appearance-similar light-trap agricultural pest detection and recognition

HIGHLIGHTS

• who: Liu Liu and Jianming Du from the Institute of Machines, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, China, University have published the paper: ASP-Det: Toward Appearance-Similar Light-Trap Agricultural Pest Detection and Recognition, in the Journal: (JOURNAL)
• what: Accompanying with ASPD task and PestNet-AS dataset, the authors propose a deep learning framework ASP-Det to evaluate the performance of the ASPD task. This research on finegrained detection mainly includes the following content: Feng proposed a set of training images, which can identify a sparse number of image patches . . .
  

   

  

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