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fslinsectimagerecognition's Introduction

Code references

Matching networks: is referred to oscarknagg's code.

Prototypical networks: is referred to cnielly's code.

Pairwise similarity with Bregman Divergences

The file Bregman_divergences provides the script for the divergences used as similarity functions. To use it, add the similarity functions to the chosen Few-shot Learning algorithm (Matching and Prototypical networks or another metric-based model).

  • Mahalanobis distance;
  • Kullback–Leibler divergence (KL-divergence);
  • Itakura–Saito divergence (IS-divergence).

IP-FSL data set:

The IP-FSL data set, based on curated images from IP102, is composed 97 classes of adult insect pest images, and 45 classes of early stages, totaling 6,817 images. IP-FSL can be downloaded here: https://drive.google.com/file/d/12iguabGCTC2aVpkP8zTDhOeP6HgndeQ5/view?usp=sharing.

drawing

Adult maturity stage insect classification task:

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Experiment results:

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Early maturity stage insect classification task:

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Experiment results:

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fslinsectimagerecognition's People

Contributors

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